Abstract
Wireless communications and sensing have notably advanced thanks to the recent developments in both software and hardware. Although various modulation schemes have been proposed to efficiently use the limited frequency resources by exploiting several degrees of freedom, antenna performance is essentially governed by frequency only. Here, we present an antenna design concept based on metasurfaces to manipulate antenna performances in response to the time width of electromagnetic pulses. We numerically and experimentally show that by using a proper set of spatially arranged metasurfaces loaded with lumped circuits, ordinary omnidirectional antennas can be reconfigured by the incident pulse width to exhibit directional characteristics varying over hundreds of milliseconds or billions of cycles, far beyond conventional performance. We demonstrate that the proposed concept can be applied for sensing, selective reception under simultaneous incidence and mutual communications as the first step to expand existing frequency resources based on pulse width.
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Introduction
Wireless communication technologies have advanced at an accelerated rate, especially in recent years, due in part to the increasing demands for next-generation applications/services such as the Internet of Things (IoT), fifth-generation mobile communication systems (5âG) and beyond 5âG (B5G or 5âG+), which manage a substantial number of communication devices within a single network1,2. In practice, communication devices are permitted to operate only in the frequency resources assigned3,4,5. To effectively utilize the assigned frequency resources, so far several modulation schemes have been proposed to multiplex the data over the single channel by using frequency, time or code divisions to increase the throughput and hence accommodate more devices within the same wireless networks6,7. For instance, within a single wireless network using a given frequency resource, different signals can be sent and received without interference depending on the modulation scheme used as a frequency, time or code division multiple access system. In other words, modulation schemes introduce additional degrees of freedom to control signals, enabling simultaneous communications and a more efficient use of the limited frequency resources. From the hardware viewpoint, various antennas have been developed and explored in depth to satisfy certain requirements, including the physical dimensions, weight, materials, and costs, while maintaining the expected antenna performance metrics, such as radiation pattern, bandwidth, gain and desired input impedance to be suitable for applications such as wireless sensing, wireless power transfer, security and bioapplications8. In general, these performance metrics vary depending on the frequency; conversely, antennas transmit/receive signals in the same manner at a fixed frequency. However, if we were able to vary such performance metrics at the antenna level itself by introducing an additional degree of freedom, each network could accommodate more communication devices without electromagnetic interference, making, thus, a significant advancement in wireless communication technology.
To vary antenna performance, reconfigurability is a typical key factor to consider. In fact, reconfigurable antennas are known to exhibit radiation characteristics that can be varied by electrical, mechanical (physical) or optical tuning mechanisms even at a constant frequency9,10,11,12. However, these mechanisms often rely on external energy resources (e.g., direct current or DC power supplies) that require regular maintenance and thus are not suitable for complicated systems containing a large number of wireless communication devices, as expected, for instance, in advanced IoT sensor networks for industrial plants, healthcare services and smart houses and cities13,14. In addition, the quest for the zero-power devices required by the current energy/climate challenges is ever-growing. Therefore, we propose that reconfigurable yet passive antennas will better satisfy the emerging demands for next-generation wireless systems.
Such a passive reconfigurability may be artificially produced by engineered subwavelength structures referred to as metamaterials15,16 and metasurfaces17,18,19. These structures enable a straightforward implementation of a variety of electromagnetic features, including negative refractive indices15,16,20 and extremely large impedance surfaces17, by suitably designing subwavelength unit cells. In fact, antennas designed with metasurfaces have shown extraordinary performance/features even beyond conventional physical limitations, such as miniaturization21, enhanced aperture efficiency22, ultrawideband radiation characteristics23,24, and super-resolution25,26. In addition, in wireless communications, metasurfaces serve as smart reflective/transmissive surfaces to effectively control the communication characteristics, including bit error rates27,28,29,30, or to convert an incoming wave into a different wavefront18,19,29,31,32,33,34. A metasurface-coating antenna has also been conceptually introduced to reduce the level of interference and provide additional physical layer security in wireless communications35.
These metasurfaces artificially produce tailored electromagnetic properties but static or invariable responses with linear media. To realize reconfigurability nonlinear metasurfaces have been introduced36,37,38,39, which give an additional state of impedance or electromagnetic properties at the same frequency even without external DC power supplies or in a passive manner40,41. For instance, metasurfaces embedded with Schottky diodes were recently reported to be capable of discriminating between different waves by sensing the waveforms or, more specifically, the pulse widths42,43,44,45,46,47. The antenna design enabled by introducing such waveform-selective metasurfaces may allow an additional degree of freedom that can provide high throughput to receive/transmit/sense electromagnetic waves in a narrow frequency band as opposed to conventional antennas that require a wide frequency band. Potentially, the selectivity of pulse width can be exploited for sharing the same frequency resources to increase the number of wireless communication devices within a single network.
Several studies have validated that radiation characteristics vary in accordance with the pulse width45,48. However, those studies were limited to numerical simulations without any experimental validation. In addition, none of the previous studies considered more than one incident wave source since overlapping pulses were recognized as a single combined pulse that could not be separated by conventional waveform-selective metasurfaces42,43,44,45,46,47,48. Moreover, in ordinary communication environments, multiple signals propagate at the same time, which, in practice, constrains waveform-selective performance6,7. For these reasons, both numerical and experimental validations are necessary for alternative passive reconfigurable antenna design to independently address multiple signals at the same frequency and at the same time.
Here, we present a new antenna paradigm based on waveform-selective metasurfaces that permit antenna characteristics to be suitably reconfigured for different waves without external energy resources. In particular, we demonstrate the realization of such advanced control by spatially constructing different types of waveform-selective metasurfaces as non-uniform waveform-selective metasurfaces around a single omnidirectional antenna. Due to this spatial configuration, our design is both numerically and experimentally proved to be capable of selectively receiving/transmitting pulsed surface waves and free-space waves at the same frequency and at the same time in a passive manner. To this end, first we present a design of a fundamental single-line system where one of the three types of waveform-selective metasurfaces is deployed as a straight line between two grounded monopole antennas to control surface wave propagation. These waveform-selective metasurfaces are based on periodic hexagonal conducting patches that transmit/absorb surface waves depending on the frequency and pulse width. These three types of waveform-selective metasurfaces are then integrated as a combined selective multiline system to vary the direction of surface wave propagation over an entire 2D surface, which confirms that our systems have variable radiation characteristics at the same frequency. We also show that the proposed concept can be extended to design a selective system for free-space wave control by assembling a monopole antenna with waveform-selective metasurfaces based on slit (or slot) structures to selectively radiate signals in free space. Moreover, we present three specific applications to steer a main beam as a passive variable sensor, to receive a signal under simultaneous incidence, and to build a mutual selective communication system without a frequency change or an external energy source. Thus, our study advances the design concept of antennas and wireless communication environments at the same frequency by using a new degree of freedom, the pulse width.
Results
Theory
The proposed antenna concept is based on waveform-selective metasurfaces as explained below. Waveform selectivity refers to an electromagnetic response that is strongly coupled to the transient responses observed in fundamental electric circuits, more specifically, DC circuits42,43,44,45. Because of this coupling, the difference in between pulses can be sensed by waveform-selective metasurfaces, a property which can be used to vary wave propagation as well as antenna characteristics. The left panel of Fig. 1a shows two grounded monopole antennas linked by a metasurface line composed of nine unit cells, each of which is connected to a neighboring cell by a diode bridge (Supplementary Fig. S1 and Supplementary Tables S1 and  S2 contain the specific design parameters). Consistent with other ordinary metasurfaces17, this structure strongly responds to an incoming surface wave at a resonant frequency, concentrating induced electric charges near the gaps between conducting patches. However, the rectification performed by the diode bridges generates an infinite set of frequency components, including a zero-frequency component, which dominates over any other frequencies. Therefore, transient circuit responses appear even at a constant frequency by deploying additional lumped components such as a resistor paired by a capacitor or an inductor42,43,44. Specifically, the capacitor-based (C-based) waveform-selective metasurface using the top circuit of Fig. 1b stores pulsed energy in capacitors at first and later dissipates it in the resistors. Importantly, this absorption performance decreases at steady state because the capacitors are fully charged. As a result, a long surface wave propagates over the C-based waveform-selective metasurface more strongly than a short pulse does. In contrast, the inductor-based (L-based) waveform-selective metasurface using the middle circuit of Fig. 1b exhibits poor absorptance during an initial time period due to the electromotive force of the inductors. Hence, a short pulse can be effectively transmitted. However, this force gradually disappears because of the zero frequency originated by the diode bridge rectification so that a long pulse is strongly absorbed by the L-based waveform-selective metasurface. Moreover, the two types of circuit configurations can be combined in parallel as a parallel-type (parallel) waveform-selective metasurface (see the bottom of Fig. 1b), which strongly absorbs both a short pulse and a continuous wave (CW). In this parallel waveform-selective metasurface, the absorption is high during an initial time period and gradually decreases since the capacitor is charged up. The absorption then increases again due to the decrease of the electromotive force of the inductors. Therefore, an intermediate pulse is weakly absorbed and thus transmitted over the parallel waveform-selective metasurface. Thus, these three types of waveform-selective metasurfaces (i.e., C-based, L-based, and parallel waveform-selective metasurfaces) can be used to control incident waves in different manners depending on both frequency and pulse width. It is noted that the transient responses of these three circuit types are predictable by a DC circuit simulation as well as by using analytical calculation49 (see Supplementary Fig. S2). The time constants of the exponentially varying voltages as well as their trends can be determined at will, hence facilitating the designs of the waveform-selective metasurfaces.
Surface wave control has been broadly reported and exploited in antenna applications, while most of them deal with frequency selectivity only50,51,52,53,54. In contrast, here we propose a waveform-selective metasurface to control surface waves such that eventually different signals from three antennas can be differentiated even though the signals arrive simultaneously at the same frequency. As the first step, the concept of our antennas can be simplified by the equivalent circuit drawn in Fig. 1c. In this figure, a transmitting antenna (Tx) is represented by an alternating current (AC) source, a switch, and input impedance Z0, while the impedance of a receiver (Rx) is represented by Z1. In addition, ZR accounts for the rest of the energy, e.g., the energy traveling to free space. The energy received by the receiver, however, varies depending on the transmission line55 between the two antennas, which is determined by the waveform-selective metasurface line. Note that, for the sake of simplicity, the equivalent circuit here does not include additional circuit components to describe other effects, including the coupling between antennas and the waveform-selective metasurface. Nonetheless, these additional effects are fully considered by electromagnetic simulations as will be shown in the later parts of this study.
The transmission between the two antennas can be more precisely calculated by using other methods, such as ABCD matrices and the Friis transmission equation8. However, one may intuitively understand from the simplified equivalent circuit of Fig. 1c that the amount of energy transmitted to the receiver depends not only on Z0 and Z1 but also on the transmission line in between, which is determined by the type of waveform-selective metasurface and varies in behavior with the incident pulse width. In addition, connecting more metasurface lines to the transmitter potentially influences the radiation direction from the transmitter. In this manner, we propose that omnidirectional antennas can be reconfigured to be time-varying directional antennas, as demonstrated below.
Fundamental single-line system
First, we numerically designed and evaluated waveform-selective metasurfaces using a co-simulation method of ANSYS Electronics Desktop 2020R2 (see âSimulation Methodâ of the Methods Section and Supplementary Fig. S3), which were experimentally validated (see âMeasurement Samplesâ and âMeasurement Methodsâ of the Methods Section and Supplementary Fig. S4). In the absence of waveform-selective responses, the monopole antennas used in Fig. 1 were numerically adjusted to efficiently radiate signals at ~2.4âGHz, as shown in Fig. 1d. However, the transmittance varied depending on the incident pulse width, as explained above and numerically demonstrated in Fig. 1e (see Supplementary Fig. S5 for power dependence and Supplementary Fig. S6 for pulse-width dependence). In particular, our waveform-selective metasurfaces were also designed to operate at ~2.4âGHz by properly choosing design parameters including the conducting dimensions, substrate thickness, etc. Importantly, the pulsed sine waves used in this study (simply called pulses below) had very narrow spectra compared to the bandwidths of both the antennas and the waveform-selective metasurfaces, as shown in Fig. 1d (cf. the bandwidth of the pulse in Fig. 1e). This ensured that our antennas did not rely on the difference in the frequency spectrum of pulsed sine waves to change the transmission characteristics. With a limited power level, these metasurfaces showed the same transmittance in the time domain, as their diodes had not yet been turned on (Supplementary Fig. S7).
However, by increasing the input power to 10âdBm, each type of waveform-selective metasurface maximized transmittance at a different time period even at a fixed oscillating frequency of 2.4âGHz because of their transient, waveform-selective absorbing mechanisms. For instance, as seen in the left panel of Fig. 1f, when the L-based, parallel and the C-based waveform-selective metasurfaces were used between the transmitter and the receiver, a transmittance peak appeared near 30âns, 300âns and 10âμs, respectively. In other words, most of the energy of a short pulse, an intermediate pulse and a long pulse can be effectively transmitted by the L-based, the parallel, and the C-based waveform-selective metasurfaces, respectively. Such transient transmittance was experimentally observed but with a small frequency change to 2.42âGHz as shown in the right panel of Fig. 1f (see Fig. 1a for one of the measured samples and Supplementary Fig. S8 for the frequency characteristics). Compared to the simulation results (the left panel of Fig. 1f) where each transmittance peak was at least 10âdB larger than the transmittances of the other curves, in the measurement results (the right panel) the vertical gaps between the transmittance peaks and the second highest transmittances were reduced to smaller values. This was in part because the lumped circuit components were soldered by hand, which led to a difference in the amount of the solder used and thus resulted in minor frequency shifts. With small frequency adjustments less than 40âMHz, larger contrasts between the three transmittances were experimentally obtained in Supplementary Fig. S9. More details are seen in Supplementary Figs. S10 and  S11. Note that these waveform-selective mechanisms can be characterized by the values of the circuit elements, such as capacitance and inductance49. For instance, the C-based waveform-selective metasurface shown in the right panel of Fig. 1f was used again in Fig. 1g but with C increased from 1 to 1âμF and 100âμF. As a result, the transient response appeared even over the order of several hundred milliseconds, which corresponds to billions of cycles (see Supplementary Fig. S12 for related simulation results). Note that this ultratransient response was readily designed and experimentally validated by replacing discrete capacitor components of the C-based waveform-selective metasurfaces (i.e., replacing C of Fig. 1b with a larger capacitance). The other types of waveform-selective metasurfaces can operate in a similar time period by using larger circuit component values. Theoretically, conventional antennas without waveform-selective metasurfaces may be able to achieve the same performance by using an extremely large quality factor56. Realistically, however, this mechanism becomes ineffective due to the presence of even a minor lossy component.
Combined selective multiline system
Next, we numerically and experimentally demonstrated that the propagation direction of the transient antenna design introduced in Fig. 1 can be readily extended by increasing the number of variable transmission lines, namely, the number of waveform-selective metasurface lines. Figure 2a shows that a transmitting antenna expressed by an AC source, a switch and input impedance Z0 is connected to three variable transmission lines ZC, ZL, and ZP representing C-based, L-based, and parallel waveform-selective metasurface lines, respectively. Z1, Z2, and Z3 denote the impedances of the three receivers. This concept is specifically realized by the schematic and the measurement sample of Fig. 2b, where the three lines used in Fig. 1f are connected to form a Y shape. In this design, the transmitter is positioned at the center to transmit a signal to the three receivers at the terminals of the metasurface lines. Figure 2c shows both numerically and experimentally that each receiver featured a maximum transient transmittance at a different time period since each waveform-selective metasurface line efficiently transmitted the signal during a different time slot.
As another planar scenario, hexagonal patches were fully deployed on a conducting ground plane to demonstrate that radiation characteristics can be changed over the entire 2D surface in Fig. 2d. This structure had a transmitting monopole and three types of waveform-selective metasurfaces, as shown in the Y-shaped structure in Fig. 2b. However, each waveform-selective metasurface occupied one-third of the area around the transmitter so that the surrounding waveform-selective metasurface was changed by every 120° of reference angle to the transmitter. Under these circumstances, due to the presence of the different waveform-selective metasurfaces, the surface wave generated by the omnidirectional transmitter was expected to propagate over the ground plane unidirectionally, unlike conventional static metasurfaces17,53. As shown in Fig. 2e, the change in the radiation pattern of the transmitter was measured with the simplified method using three monopole receivers. In such transmittance measurements, an average transient transmittance peak first appeared between 0.01 and 0.1âμs in the L-based waveform-selective metasurface receiver area (Rx3), and then another such peak appeared between 0.1 and 1âμs in the parallel waveform-selective metasurface receiver area (Rx2). Finally, a larger transient transmittance was measured in the C-based waveform-selective metasurface receiver area (Rx1) at ~10âμs. These results indicate that most of the energy of a short pulse, an intermediate pulse and a long pulse can be effectively radiated to the directions of the L-based, the parallel, and the C-based waveform-selective metasurfaces, respectively. As fundamentally demonstrated in Figs. 1 and 2, these results confirm that the use of non-uniform waveform-selective metasurfaces can provide an additional degree of freedom to control surface waves and vary radiation characteristics even at the same frequency. Note that our antenna designs demonstrated in Fig. 2 were spatially constructed with different waveform-selective metasurfaces. This means that our antennas used the spatial dimensions as an additional degree of freedom, which is later exploited to selectively distinguish different waves even under simultaneous incidence.
System for free-space wave control
To demonstrate the applicability to waves propagating in a wireless network or in free space, we also show that the proposed concept can be used to design a selective system for free-space wave control, as illustrated in Fig. 3a. In this figure, as seen in Fig. 2a, a transmitter is represented by an AC source, a switch and input impedance Z0. In the case of free-space wave control, however, C-based, L-based, and parallel waveform-selective metasurfaces are used as simple planar layers in parallel to the transmitter and, thus, represented by variable shunt impedances ZC, ZL, and ZP instead of transmission lines that correspond to free space. Z1, Z2, and Z3, similarly, are the impedances of the three receivers, respectively. To specifically design such a system, a transmitting monopole antenna (18âmm tall) is surrounded by a set of waveform-selective metasurface panels in Fig. 3b. Note that, for simplicity, this scenario used a ground plane and the mirror image of the monopole to readily evaluate the radiation characteristics of a dipole antenna suspended in free space, unlike the surface wave cases in Figs. 1 and 2. The waveform-selective metasurfaces used in Fig. 3b were based on slit (or slot) structures44,57 and, thus, designed to strongly transmit incoming signals at a resonant frequency (see the structure and frequency characteristics in Supplementary Figs. S13 and  S14, respectively, and the design parameters in Supplementary Tables S3 and  S4). However, this resonant mechanism was either maintained or disrupted depending on the three types of waveform-selective metasurfaces used (two panels each, as shown in Fig. 3b). Note that even though the overall metasurface size in two panels was comparable to the wavelength (the dimension was equivalent to 0.9âλâÃâ0.65âλ) the single meta-atoms are subwavelength (~0.25âλ). Thus, the metasurface effectively worked as a homogenized surface for the monopole antenna21,22.
To observe the change in radiation characteristics in a simple manner, we used three monopole receivers placed in front of each waveform-selective metasurface (see Supplementary Fig. S15 and Supplementary Tables S5 and S6 for details and design parameters). Under this circumstance, the waveform-selective metasurface-based antenna steered the main lobe of the radiation by increasing the input power to 30âdBm at 3.85âGHz, as plotted in Fig. 3c (the frequency dependences are presented in Supplementary Fig. S16). Note that compared to the surface wave demonstrations seen in Figs. 1 and  2, this configuration used a higher frequency near 3.85âGHz instead of the frequency region near 2.4âGHz to reduce the dimensions of the measurement setup. At first, the signal was most efficiently radiated out of the panels containing the L-based waveform-selective metasurfaces, as obtained by Rx1 in Fig. 3b and shown by the black curve in Fig. 3c. Then, the L-based waveform-selective metasurface gradually reduced the transmittance, but the parallel waveform-selective metasurface started strongly transmitting the signal, where Rx2 measured the largest transmittance near 1âμs (see the red curve in Fig. 3c). This large transmittance, however, then decreased, while the C-based waveform-selective metasurface eventually maximized the transmittance, as shown by the blue curve in Fig. 3c.
Next, we compared the simulation results with measurement results. The simulated results in Fig. 3c were entirely consistent with the measurements of the sample shown in Fig. 3d, as plotted in Fig. 3e, except minor discrepancies in, for instance, the magnitude of transmittance and shift of time scales. Such discrepancies arose primarily due to the presence of some additional factors in the experimental case, including extra parasitic circuit components. Nonetheless, these measurements ensured the experimental feasibility of the proposed concept for free-space waves.
Furthermore, to experimentally visualize the radiation pattern over a 2D plane, we rotated the hexagonal metasurface prism of Fig. 3d every 10° while monitoring the transmittance from a monopole receiver in a far-field distance as seen in Fig. 3f. Consistent with the above simulation and measurement results, the radiation patterns plotted in Fig. 3g indicated that the maximum antenna directivity was achieved towards three different angles depending on the time period of the signal. The radiation pattern also clarified that the corner direction of each metasurface panel gave the highest transmittance as seen, for example, in 0.02âμs (the black lines in Fig. 3g), where the maximum transmittance was observed at 60° angle corresponding to the corner direction of the L-based waveform-selective metasurface panels. The side-lobe level in this time was 10âdB lower than the peak, indicating that receiving antennas located in other directions would receive low-intensity signals from the transmitter (see Supplementary Fig. S17 for the full-time-varying far-field pattern). Besides the above 2D far-field profile, to get a clearer picture of interference paths, such as crosstalk, we have estimated the coupling from the transmitter to a receiver via the other two external antennas, and the result is shown in Supplementary Fig. S18. The calculated crosstalk was much lower than the power through the main path while in the measurement they differed by at least 20âdB.
As a reference result, Supplementary Fig. S19 shows simulation results where all the transmittances remained the same and constant when the input power level was not large enough to turn the diodes on. In addition, Supplementary Fig. S20 represents the simulation results using only one of the three waveform-selective metasurfaces for all six panels. As shown in Supplementary Fig. S20, transient transmittance varied if the incident power was sufficiently large, but all the receivers received the same amount of energy, which indicates that the radiation characteristic was transient but omnidirectional. Note that as mentioned in Fig. 2, the antenna design of Fig. 3 was also spatially constructed with different waveform-selective metasurfaces. In other words, spatial dimensions were used as an additional degree of freedom, which plays an important role to separate different pulsed signals even at the same time as demonstrated in the following part of our study. Also, as mentioned in Fig. 2, the results of Fig. 3 indicate that most of the energy of a pulsed signal is effectively radiated to different directions depending on the pulse width (e.g., a short pulse to the direction of the L-based waveform-selective metasurface receiver).
Passive variable sensor
Now that we have so far designed and validated the antennas to vary radiation characteristics at the same frequency depending on the pulse width of a surface wave and a free-space wave, we use the proposed metasurface-based antennas in three different situations to explore how such ultratransient directional antennas can be used for practical applications, even under the restriction of a single frequency band due to a limited frequency resource. In Fig. 3, the antenna was shown to steer the main lobe or transmit a signal to different receivers, which fits in existing wireless communication environments to vary the radiation characteristics and avoid electromagnetic interference. However, we propose an additional application using the reflected waveform of the transmitted signal to detect a scattering object as a passive yet variable sensor. As shown in Fig. 4a, a copper plate (51âmm tall and 70âmm wide) was placed in front of the antenna shown in Fig. 3. Note that we changed the location of the copper plate, which also influenced the reflectance in the time domain as the radiation characteristics of the antenna depend on the pulse width. Therefore, these results were compared to the reflectance without the copper plate to detect the difference in between and where the plate was positioned.
Under these circumstances, as shown in Supplementary Fig. S21a and more clarified in Fig. 4b, the transient reflectance experimentally increased during different time slots depending on the conductor position. Specifically, in contrast to the result obtained without the copper plate (Supplementary Fig. S21a), when the copper plate was located in front of the L-based waveform-selective metasurface panels, which efficiently radiated an electromagnetic wave during the initial time period, there was a larger transient reflectance until 0.2âμs. Similarly, the transient reflectance increased at ~1âμs and 10âμs when the plate was positioned in front of the parallel and C-based waveform-selective metasurface panels, respectively. These differences in reflectance appeared even if more than one copper plate were deployed, as demonstrated in Fig. 4c and Supplementary Fig. S21b. As seen in the black curve of Fig. 4c, for instance, a reflectance increased during an initial time period and near 1âμs, when two copper plates were positioned in front of the L-based and parallel waveform-selective metasurfaces, since they independently increased transmittance during these time slots. These results indicate that multiple objects can be sensed by using several types of waveform-selective metasurfaces or non-uniform waveform-selective metasurfaces. Moreover, the distances between the copper plates and these waveform-selective metasurfaces were changed in Fig. 4d and Supplementary Fig. S21c. As seen in Fig. 4d, the increase in reflectance was relatively limited during an initial time period when the distance between one of the copper plates and the L-based waveform-selective metasurface increased. In contrast, the gap between the two curves in Fig. 4d was relatively small near 1âμs, since the distance of another copper plate to the parallel waveform-selective metasurface was fixed. Thus, these results demonstrate that the distance to a scattering object can be detected from the difference in reflected waveforms. Additional results are seen in Supplementary Fig. S22. In this figure, reflectances are shown as a function of the distance between the monopole antenna and a copper plate.
In conventional methods to detect the direction of a scattering object, an antenna or a sensor (or a radar) usually changes its direction or posture as seen in parabolic antennas, adjusts the input phase as seen in phased arrays or sweeps the frequency component as a chirp signal8. Without any of these active changes, however, our waveform-selective metasurface-based antennas can potentially detect the location of scattering objects since the antennas keep varying their main lobes depending on pulse width, which is exploited as a new degree of freedom in wireless communications. Also, the proposed method only used a single transmitter unlike phased arrays composed of several radiating elements and phase shifters or adjustment components. Moreover, no duplexer was needed to perform detection even though only a single antenna was used. It is noted that our prototype here preferentially selected only three different angles. To increase the angular resolution, the metasurface can be arranged as a polygon with a higher number of sides that are associated with different waveform-selective functionalities. The metasurface antenna here detected objects and instantly differentiated their distances, while the detection reliability was limited by the noise floor as seen in Fig. 4d. Therefore, the performance can be improved by several factors including the number of sides, complexity in the circuit realization and the monopole antenna setups.
Selective reception under the simultaneous incidence
The second application is the selective reception of simultaneous incidences. From the viewpoint of efficient communication systems/environments, many signals may travel at the same time to increase the entire spatial data transfer rate. However, none of the waveform-selective metasurfaces that have been reported thus far is capable of distinguishing different pulsed waves if the signals arrive at the same time since the pulses are received as a single combined signal42,43,44,45,46,47,48. We addressed this issue in Fig. 5, where the central grounded monopole (effectively dipole) shown in Fig. 3 was placed near different types of waveform-selective metasurfaces that were spatially constructed to face different directions. This implies that our configuration exploited spatial dimensions as an additional degree of freedom (see Fig. 3a). Therefore, the proposed antenna design can be used for selectively receiving a pulsed signal from a particular incident angle.
Figure 5a shows the simulation model tested using the same configuration as that in Fig. 3 but using the central antenna as a receiver and the three external antennas as transmitters, each of which generated a sine wave of 3.85âGHz (30âdBm) with a different phase offset, specifically, â120, 0, and +120° for Tx1, Tx2, and Tx3, respectively. In this case, if the three signals have the same input power level, the total power received at the central receiver becomes ideally zero (or practically low) since the three incident signals cancel out each other, unless these signals are selectively filtered by waveform-selective metasurfaces. Therefore, the phase offset of the external transmitters clarify which signal dominated others even at the same frequency, as well as the direction of the signal source. In addition, the distance between the central receiver and the external transmitters was reduced to ensure a sufficiently large input power for the measurements (see Supplementary Fig. S23 using the previous far-field distance).
First, when only one of the transmitters generated a signal, the simulation result was obtained, as plotted in the left panel of Fig. 5b. According to this result, transient transmittance was maximized during different time ranges, depending on which transmitter sent the signal. In addition, when more than one transmitter was activated, multiple transmittance peaks appeared, as plotted in the right panel of Fig. 5b. In particular, the three-source case turned out to follow the largest values among the three individual curves (see the left panel of Fig. 5b). To more clearly analyze the primary signal source, the voltage of the received signal was investigated in the time domain. According to the phases calculated in Fig. 5c (or the time of zero voltage), only one of the three signals was found to be relatively dominant across three time periods (i.e., ~0.05, 0.45, and 10âμs). This result indicates that by combining non-uniform waveform-selective metasurfaces with angular (or spatial) characteristics, different signals can be selectively received at the same frequency, even if the signals enter the proposed antenna at the same time. In addition, experimental validation is provided in Fig. 5dâf. In these measurements, basically we used the same conditions as the ones applied to the simulations in Fig. 5aâc, except for the input power adjusted to 36âdBm (see the detailed measurement method in Supplementary Fig. S24 and âMeasurement Methodsâ in the Methods Section). First, as seen in Fig. 5b, the measurement results seen in Fig. 5e showed similar transmittance peaks with minor shifts in the time domain due to several factors including the absence of solder and some additional parasitic circuit parameters that were not fully included in the simulations and affected the time constants of Fig. 5e. Despite these time-domain shifts, however, a single transmitted signal was found to dominate over the others, as shown in Fig. 5f. When all the three transmitters generated signals, the magnitude of the transmitted voltage slightly changed due to the interference between all the three signals. However, the phase remained almost the same as that of each dominant signal. These results experimentally confirm that the proposed antenna is capable of selectively receiving different pulses even under simultaneous incidences. Note that, as mentioned above, conventional design of waveform-selective metasurfaces or related antennas suffered from the fact that multiple pulsed signals arriving at the same time appeared as a single combined pulse that could not be distinguished by previous waveform selectivities. However, this drawback is overcome in the proposed antenna design concept by using spatial dimensions as an additional degree of freedom.
Mutually selective communication system
As the third application, we show that waveform selectivity can be exploited by multiple antennas to design a mutually pulse-width-selective communication system. In Figs. 3 and 5, only one antenna was permitted to selectively transmit/receive a pulsed signal in accordance with the pulse width. In contrast, the system proposed here is one step closer to a realistic wireless communication environment where ideally several antennas are expected to transmit and receive signals at the same time to increase the data transfer rate of the entire space. To realize such a system, the waveform-selective metasurface panels used only for a transmitter in Fig. 3 can be deployed for the three external antennas, since these external antennas are also given waveform-selective radiation characteristics, which means that mutually pulse-width-selective communications are established between any pair of antennas.
For simplicity, such a communication system was demonstrated using surface waves together with the three waveform-selective metasurface lines used in Fig. 2b. However, the three metasurface lines were combined to form a triangle shape instead of a Y shape in Fig. 6a. Each corner had a grounded monopole so that all the paths between the three antennas were connected by either a C-based, an L-based or a parallel waveform-selective metasurface to independently use different types of waveform selectivities without severely interfering with the other paths. In addition, the antennas were programmed to generate a sine wave (10âdBm at 2.36âGHz) with a phase offset of â120, 0 or +120°.
Under these circumstances, when only one of the three antennas generated a signal, the transmittances to the other two receivers were maximized in different time slots, as shown in Fig. 6b. This demonstrates selective transmission to the receiving antennas. In addition, Fig. 6c shows that different signals were selectively received in different time ranges. In other words, the communication system shown in Fig. 6a exhibited not only the selective transmission capability (as presented in Figs. 2 and 3) but also the selective reception capability (as shown in Fig. 5), both of which were observed in every single antenna element of Fig. 6a.
The proposed system was experimentally validated using the measurement sample of Fig. 6d and the method introduced in Fig. 5 (see Supplementary Fig. S24). As a result, similar trends were obtained in Fig. 6e, where signals were selectively transmitted to receivers. In addition, two transmittance peaks appeared in each case of Fig. 6f even if two signals were simultaneously excited. Note that the locations of the two peaks were close to the peaks of the single source cases (i.e., compare the blue curves to the black and the red curves). These measurement results showed minor differences with the simulation results in Fig. 6b and Fig. 6c in terms of the magnitudes of the transmittances and the locations of the transmittance peaks. Nevertheless, the proposed mutually pulse-width-selective communication system was both numerically and experimentally validated. It is noted here that the response of the parallel waveform-selective metasurface was important in enabling the proposed mutually selective communication concept, since it provided a time range to design a variable directive transmission. Similarly, as discussed in Figs. 4 and  5, the parallel waveform-selective metasurface also contributed to the realization of an angle-resolved sensing system and a space-time selective surface under a continuous incidence, which would otherwise be impossible to realize the same feature using only L-based and C-based waveform-selective metasurfaces.
Discussion
In this study, we demonstrated a proof-of-concept of pulse-driven self-reconfigurable antennas that contained several types of waveform-selective metasurfaces. Despite their simple configurations, the proposed antennas enabled successful variation of the antenna characteristics depending on the pulse width even at the same frequency. Specifically, Fig. 1 and Fig. 2 showed antennas generating surface waves that propagated in accordance with pulse width, while Fig. 3 demonstrated how free-space wave radiation changed at a constant frequency. However, in order to facilitate the application of the proposed antennas, performance may need to be further optimized. For instance, Fig. 4 showed the application of a prototype antenna to sense a scattering object by varying the pulse width. This sensing capability was limited due to reflection from the waveform-selective metasurface panels since only one of the three types of panels permitted a signal to radiate out, while the other two types reflected the signal to the transmitting monopole, which appeared as a relatively strong reflection (see the results without copper plates in Supplementary Fig. S21). This performance can potentially be improved by introducing strong nonreciprocity into the waveform-selective metasurfaces58. In this way, the signal from the transmitting antenna would pass through the metasurfaces, but only the propagation from the outside to the antenna (only the wave reflected from the outside) would be selectively filtered so that the reflectance curve without the conductor plate in Supplementary Fig. S21 is significantly lowered to recognize objects that require much higher sensitivities. In addition, our antennas relied on the diodes of commercial products. For this reason, the minimum power and dynamic range to achieve waveform selectivities or exploit pulse-driven reconfigurability were limited, as the diodes used had a turn-on voltage and a break-down voltage of finite values (~0.3âV and 7.0âV, respectively). Between these voltages, diodes can be used to rectify incoming signals and achieve waveform-selective antenna performance. In particular, the turn-on voltage is important in wireless communications. In Fig. 3, for example, the incident power level was set to 30âdBm, which was much higher than ordinary communication signal levels (e.g., â70âdBm). Within the choice of commercial products, Schottky diodes as used in this work have a lower turn-on voltage than PIN diodes, but have higher equivalent resistance that potentially adds an ohmic loss leading to a reduced radiation efficiency. Enhanced performance can be achieved by using advanced semiconductor technologies, such as the latest microfabrication process, especially to lower the turn-on voltage of the diodes. Moreover, we note that compared to the simulation results, the measurement results showed a reduced transmittance or a reduced efficiency due to parasitic losses introduced during the fabrication process such as soldering of the surface mount devices (SMD). In Supplementary Fig. S25, we estimated the reduced transmittance by deliberately adding parasitic losses in the simulation and showed that an additional 100-Ω series resistance yielded a comparable transmittance profile to the measurement. To enhance the efficiency of the metasurface, a reliable fabrication process may be used to minimize the parasitic losses from SMD soldering. Despite the possibility of improving performance, the concept of the proposed antenna designs provides a new degree of freedom to control electromagnetic waves or wireless communication signals even at the same frequency which has not been shown previously. This was demonstrated here as selective transmitters in Figs. 1â3, a passive variable sensor in Fig. 4, a selective receiver in Fig. 5, and a mutual selective communication system in Fig. 6.
In the geometrical context, the hexagonal prism shape composed of the metasurface panels in Fig. 3 was meant to show the controllable radiation pattern depending on time, which is extensible into more than three angles. The metasurface prism can be arranged as a regular polygon with a reduced side number such as an equilateral triangle. However, the prism side length determined by the dimensions of metasurface panels should be carefully adjusted to maintain appropriate distance between the transmitting monopole and the metasurface panels, avoiding destructive phase interference (see Supplementary Fig. S26 for the analysis on triangular metasurface prisms). In addition, a regular polygon with a higher number of sides such as a decagonal prism may increase the polygon radius too much, which exponentially increases the power required to achieve waveform-selective profiles. As for relations with the distance between the receivers and the directivity of the transmissive antennas, Friis transmission equation may be used to briefly approximate the power of the secondary reflections from external antennas. The power received by an antenna PR in decibel is PRâ=âPTâ+âGTâ+âGRâ+â20log(λ/4Ïd). Here, PT is the transmitted power, GT and GR are the gains of the transmitter and the receiver, respectively, and 20log(λ/4Ïd) is the distance-dependent power reduction where λ is the operating wavelength and d is the distance between the two antennas considered. In the case of the metasurface in Fig. 3b, the power received by Rx2 via Rx1 was â28.45âdBm according to the Friis formula, considering that the simulated gain of the monopole antennas was GTâ=âGRâ=â3.25âdB and the transmitted power was PTâ=â0âdBm. This calculated received power was approximately the same as the measured power as seen in Supplementary Fig. S18d which was around â28âdBm, confirming that there was only limited influence of the secondary reflections from external antennas via the metasurface panels.
From the viewpoint of efficiently utilizing frequency resources, the performance of our antenna design depends on the number of pulses that are selectively received/transmitted. As presented above (e.g., Fig. 1g and Supplementary Fig. S11), the transient responses basically follow exponential functions determined by time constants49. For this reason, only three different pulses (short, intermediate and long pulses) were unambiguously distinguished by our prototype antenna up to 10âμs as shown in Fig. 5. Communication signals can be more efficiently used by increasing the number of separated pulses, which is achieved by adding more metasurface filters. However, such improvement may be hampered by several fundamental restrictions including the slow mechanism to obtain transmittance variation that is based on the transient responses following exponential functions. Although this slow variation may still be acceptable in a small number of filters such as shown in this work, it is likely to impose tight limitations when a higher number of filters is used. Therefore, a new mechanism is needed to go beyond this ordinary waveform-selective response that is not limited by exponentially time-varying voltages of RLC circuits. Nonetheless, we demonstrated that the proposed antenna design is experimentally realizable with quite long pulses even beyond many practical pulse-width ranges, reaching billions of cycles or several hundred milliseconds (Fig. 1g). Performance can be further extended by replacing the lumped circuit components since their values relate to time constants that determine how the waveform selectivity or transient response is characterized (see past studies with respect to more advanced pulse controls59 and equivalent circuit models for time constants49).
In addition, for the efficient use of frequency resources, different modulation schemes can be combined to accommodate more communication devices in a single wireless network6,7. In recent years, orbital angular momentum (OAM) has been widely explored in which additional degrees of freedom can be achieved at the same frequency by exploiting orbital momenta of waves along with the established spin momenta, i.e., left/right hand circularly polarized waves33,60. Although the OAM is simple in concept and efficient multiplexing can be achieved, implementing the OAM technique in an antenna through the use of a metasurface usually requires a large design thickness that is proportional to the wavelength, which is acceptable in the optical range but not at lower frequencies. In addition, the challenging design of receiver antennas to detect OAM waves in the far-field makes it nearly impossible to utilize for long-distance communications. In contrast, our waveform-selective metasurfaces can be designed with a subwavelength thickness and be installed directly to an antenna anywhere in a wireless network environment45. Nevertheless, the concept of waveform selectivity can be integrated with the OAM as well as with other modulation schemes6,7 to accommodate an increasing number of wireless communication devices in a single wireless network and to more effectively share the same frequency resource. With such a potential, our study is expected to advance the design concept of antennas and wireless communication environments at the same frequency and become the first step to expand existing frequency resources by using a new additional degree of freedom, the pulse width.
In conclusion, we have presented a design concept of metasurface-based antennas and their applications to reconfigure antenna characteristics at the same frequency without external energy resources, namely, in a passive manner. The proposed antennas exhibited ultratransient, pulse-width-selective characteristics that enabled the realization of varied scattering parameters at a constant frequency over several hundred milliseconds. This capability is not practically achievable by conventional antenna design methods but was made possible by the utilization of waveform-selective metasurfaces. In particular, the use of spatially constructed non-uniform waveform-selective metasurfaces led to selective control of the radiation characteristics of ordinary omnidirectional antennas, which were validated both numerically and experimentally. Finally, these antennas were used in three applications, specifically to steer a main beam as a passive yet variable sensor, to receive a signal under simultaneous incidence and to build a mutually selective communication system without a frequency change or an external energy source. Unlike previous studies which were limited to simulations only and a single signal source, our study both numerically and experimentally verified selective transmission and reception even under simultaneous incidence as often seen in realistic communication environments. Our study is expected to provide a new degree of freedom to design wireless communication systems and to contribute to the efficient use of limited frequency resources in the next generation of communication environments.
Methods
Simulation method
We designed and evaluated antennas based on waveform-selective metasurfaces by using a co-simulation method42,43,44 that integrated an electromagnetic (EM) solver with a circuit simulator within ANSYS Electronics Desktop 2020R2. In this method, first, the EM models were simulated in the EM solver without lumped circuit components that were replaced by lumped ports (Supplementary Fig. S3). The scattering parameters obtained in the EM solver were then used in the circuit simulator along with the lumped components connected to the lumped ports. This method is equivalent to directly connecting the lumped components to the EM models in the EM solver, although it significantly improves the simulation efficiency and contributes to optimizing the antenna models. We note that diodes were properly simulated using the corresponding SPICE model where nonlinearity was included. Unlike other simulation methods based on time-domain analysis such as the Finite Difference Time Domain (FDTD) method or the Transmission Line Modeling (TLM) method61, the co-simulation method performs transient analysis within the circuit level, which does not normally produce field distributions but more efficiently provides voltages and currents at discrete circuit components.
Measurement samples
Our waveform-selective metasurfaces were fabricated using Rogers3010 substrates (1.27âmm thick) and Broadcom HSMS-286X series product diodes. The design parameter details are given in Supplementary Tables S1âS6. The conducting patterns were covered by coating layers to prevent the influence of oxidation and to facilitate the soldering process. In addition, the front surface of the measurement sample used in Fig. 2d was mostly covered by a resist that helped limit the solder area.
Measurement methods
As shown in Supplementary Fig. S4, input signals were generated by a signal generator (Anritsu MG3692C) or an arbitrary waveform generator (AWG) (Keysight Technologies M8195A). In particular, the AWG was used to generate pulses longer than 10âμs, as shown in Fig. 1g. The duty cycles of the pulsed signals were set to 0.1% or less to ensure that the pulse periods were relatively long enough, compared to the pulse width. This was because the electric potential within diode bridges needed to be restored to zero voltage before a next pulse came in. If the power levels were too small, an amplifier (Ophir 5193RF) was used to ensure that the incident power levels were sufficient to realize waveform-selective responses. The reflection to the amplifier was reduced by an isolator (Pasternack PE83IR1004). For the measurements of Figs. 5 and 6, a divider (Clear Microwave D38004), phase shifters (Pasternack PE8245), and a coupler (ET Industries C-058-30) were additionally used (for instance, see Supplementary Fig. S23 for the setup of Fig. 5). The incident, reflected and transmitted powers/energies were measured using an oscilloscope (Keysight Technologies DSOX6002A or Teledyne LeCroy WaveRunner9404 M). The frequency characteristics of the proposed antennas were measured by using a vector network analyser (VNA) (Keysight Technologies N5249A).
Data availability
The data that support the findings of this study are available from the corresponding author upon request.
Code availability
The codes that are used to generate results in the paper are available from the corresponding author upon request.
References
Dang, S., Amin, O., Shihada, B. & Alouini, M.-S. What should 6G be? Nat. Electron. 3, 20â29 (2020).
Al-Fuqaha, A. et al. Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Commun. Surv. Tutor. 17, 2347â2376 (2015).
Electronic Communications Committee. The European Table of Frequency Allocations And Applications in The Frequency Range 8.3 KHz to 3000 GHz (ECA TABLE). in Proceedings of European Conference of Postal and Telecommunications Administrations (Electronic Communications Committee, 2020).
Federal Communications Commission, United States of America. FCC ONLINE TABLE OF FREQUENCY ALLOCATIONS 47 C.F.R. § 2.106, Revised on July 1, https://transition.fcc.gov/oet/spectrum/table/fcctable.pdf (2022).
The Ministry of Internal Affairs and Communications (MIC) Japan. MIC Frequency Assignment Plan, September 2021, https://www.tele.soumu.go.jp/e/adm/freq/search/share/plan.htm (2021).
Goldsmith, A. Wireless Communications (Cambridge Univ. Press, 2005).
Hanzo, L., Ng, S. X., Webb, W. & Keller, T. Quadrature Amplitude Modulation: From Basics to Adaptive Trellis-Coded, Turbo-Equalised and Space-Time Coded OFDM, CDMA and MC-CDMA Systems (IEEE Press-John Wiley, 2004).
Balanis, C. A. Antenna Theory: Analysis and Design (John Wiley & Sons, 2016).
Hum, S. V. & Perruisseau-Carrier, J. Reconfigurable reflectarrays and array lenses for dynamic antenna beam control: a review. IEEE Trans. Antennas Propag. 62, 183â198 (2014).
Huang, C. et al. Reconfigurable intelligent surfaces for energy efficiency in wireless communication. IEEE Trans. Wirel. Commun. 18, 4157â4170 (2019).
Christodoulou, C. G., Tawk, Y., Lane, S. A. & Erwin, S. R. Reconfigurable antennas for wireless and space applications. Proc. IEEE 100, 2250â2261 (2012).
Wu, C. et al. A phased array based on large-area electronics that operates at gigahertz frequency. Nat. Electron. 4, 757â766 (2021).
Stankovic, J. A. Research directions for the internet of things. IEEE Internet Things J. 1, 3â9 (2014).
Zanella, A. et al. Internet of things for smart cities. IEEE Internet Things J. 1, 22â32 (2014).
Smith, D. R. et al. Composite medium with simultaneously negative permeability and permittivity. Phys. Rev. Lett. 84, 4184 (2000).
Shelby, R. A., Smith, D. R. & Schultz, S. Experimental verification of a negative index of refraction. Science 292, 77â79 (2001).
Sievenpiper, D. et al. High-impedance electromagnetic surfaces with a forbidden frequency band. IEEE Trans. Microw. Theory Tech. 47, 2059â2074 (1999).
Yu, N. et al. Light propagation with phase discontinuities: generalized laws of reflection and refraction. Science 334, 333â337 (2011).
Yu, N. & Capasso, F. Flat optics with designer metasurfaces. Nat. Mater. 13, 139â150 (2014).
Grbic, A. & Eleftheriades, G. V. Overcoming the diffraction limit with a planar left-handed transmission-line lens. Phys. Rev. Lett. 92, 117403 (2004).
Ziolkowski, R. W., Jin, P. & Lin, C.-C. Metamaterial-inspired engineering of antennas. Proc. IEEE 99, 1720 (2011).
Binion, J. D. et al. A metamaterial-enabled design enhancing decades-old short backfire antenna technology for space applications. Nat. Commun. 10, 1â7 (2019).
Lier, E. et al. An octave-bandwidth negligible-loss radiofrequency metamaterial. Nat. Mater. 10, 216â222 (2011).
Sussman-Fort, S. E. & Rudish, R. M. Non-Foster impedance matching of electrically-small antennas. IEEE Trans. Antennas Propag. 57, 2230â2241 (2009).
Lerosey, G., de Rosny, J., Tourin, A. & Fink, M. Focusing beyond the diffraction limit with far-field time reversal. Science 315, 1120â1122 (2007).
Grbic, A., Jiang, L. & Merlin, R. Near-field plates: subdiffraction focusing with patterned surfaces. Science 320, 511â513 (2008).
Wu, Q. & Zhang, R. Towards smart and reconfigurable environment: intelligent reflecting surface aided wireless network. IEEE Commun. Mag. 58, 106â112 (2019).
Dunna, M., Zhang, C., Sievenpiper, D. & Bharadia, D. ScatterMIMO: enabling virtual MIMO with smart surfaces. in Proceedings of the 26th Annual International Conference on Mobile Computing and Networking. 1â14 (2020).
Chen, L. et al. Pushing the physical limits of iot devices with programmable metasurfaces. in 18th USENIX Symp. Networked Sys. Des. Implement. 425â438 (2021).
Zhang, L. et al. A wireless communication scheme based on space-and frequency-division multiplexing using digital metasurfaces. Nat. Electron. 4, 218â227 (2021).
Pfeiffer, C. & Grbic, A. Metamaterial Huygensâ surfaces: tailoring wave fronts with reflectionless sheets. Phys. Rev. Lett. 110, 197401 (2013).
Shen, Y. et al. Optical vortices 30 years on: OAM manipulation from topological charge to multiple singularities. Light Sci. Appl. 8, 1â29 (2019).
Ren, H. et al. Complex-amplitude metasurface-based orbital angular momentum holography in momentum space. Nat. Nanotechnol. 15, 948â955 (2020).
Olk, A. E., Macchi, P. E. & Powell, D. A. High-efficiency refracting millimeter-wave metasurfaces. IEEE Trans. Antennas Propag. 68, 5453â5462 (2020).
Tsiftsis, T. A., Valagiannopoulos, C., Liu, H., Boulogeorgos, A. A. A. & Miridakis, N. I. Metasurface-coated devices: a new paradigm for energy-efficient and secure 6G communications. IEEE Veh. Technol. Mag. 17, 27â36 (2022).
Lapine, M., Shadrivov, I. V. & Kivshar, Y. S. Colloquium: nonlinear metamaterials. Rev. Mod. Phys. 86, 1093 (2014).
Zharov, A. A., Shadrivov, I. V. & Kivshar, Y. S. Nonlinear properties of left-handed metamaterials. Phys. Rev. Lett. 91, 037401 (2003).
Shadrivov, I. V., Morrison, S. K. & Kivshar, Y. S. Tunable split-ring resonators for nonlinear negative-index metamaterials. Opt. Express 14, 9344â9349 (2006).
Renzo, M. D. et al. Smart radio environments empowered by reconfigurable intelligent surfaces: How it works, state of research, and the road ahead. IEEE J. Sel. Areas Commun. 38, 2450â2525 (2020).
Barbuto, M. et al. Metasurfaces 3.0: a new paradigm for enabling smart electromagnetic environments. IEEE Trans. Antennas Propag. 70, 8883â8897 (2021).
Barbuto, M. et al. Intelligence enabled by 2d metastructures in antennas and wireless propagation systems. IEEE Open J. Antennas Propag. 3, 135 (2022).
Wakatsuchi, H., Kim, S., Rushton, J. J. & Sievenpiper, D. F. Waveform-dependent absorbing metasurfaces. Phys. Rev. Lett. 111, 245501 (2013).
Wakatsuchi, H. et al. Waveform selectivity at the same frequency. Sci. Rep. 5, 1â6 (2015).
Wakatsuchi, H., Long, J. & Sievenpiper, D. F. Waveform selective surfaces. Adv. Funct. Mater. 29, 1806386 (2019).
Vellucci, S. et al. Waveform-selective mantle cloaks for intelligent antennas. IEEE Trans. Antennas Propag. 68, 1717 (2020).
Imani, M. F. & Smith, D. R. Temporal microwave ghost imaging using a reconfigurable disordered cavity. Appl. Phys. Lett. 116, 054102 (2020).
Eleftheriades, G. V. Protecting the weak from the strong. Nature 505, 490â491 (2014).
Barbuto, M. et al. Waveguide components and aperture antennas with frequency-and time-domain selectivity properties. IEEE Trans. Antennas Propag. 68, 7196â7201 (2020).
Asano, K., Nakasha, T. & Wakatsuchi, H. Simplified equivalent circuit approach for designing time-domain responses of waveform-selective metasurfaces. Appl. Phys. Lett. 116, 171603 (2020).
Fong, B. H. et al. Scalar and tensor holographic artificial impedance surfaces. IEEE Trans. Antennas Propag. 58, 3212â3221 (2010).
Quarfoth, R. & Sievenpiper, D. Artificial tensor impedance surface waveguides. IEEE Trans. Antennas Propag. 61, 3597â3606 (2013).
Lee, J. & Sievenpiper, D. F. Method for extracting the effective tensor surface impedance function from nonuniform, anisotropic, conductive patterns. IEEE Trans. Antennas Propag. 67, 3171â3177 (2019).
Bosiljevac, M. Non-uniform metasurface Luneburg lens antenna design. IEEE Trans. Antennas Propag. 60, 4065â4073 (2012).
Minatti, G. et al. Synthesis of modulated-metasurface antennas with amplitude, phase, and polarization control. IEEE Trans. Antennas Propag. 64, 3907â3919 (2016).
Christopoulos, C. The Transmission-Line Modeling Method (IEEE Press, 1995).
Nakasha, T., Phang, S. & Wakatsuchi, H. Pseudo-waveformâselective metasurfaces and their limited performance. Adv. Theory Simul. 4, 2000187 (2021).
Munk, B. A. Frequency Selective Surfaces: Theory and Design (John Wiley & Sons, 2005).
Caloz, C. et al. Electromagnetic nonreciprocity. Phys. Rev. Appl. 10, 047001 (2018).
Wakatsuchi, H. Time-domain filtering of metasurfaces. Sci. Rep. 5, 16737 (2015).
Lloyd, S. M., Babiker, M., Thirunavukkarasu, G. & Yuan, J. Electron vortices: beams with orbital angular momentum. Rev. Mod. Phys. 89, 035004 (2017).
Wakatsuchi, H., Anzai, D. & Smartt, C. Visualization of field distributions of waveform-selective metasurface. IEEE Antennas Wirel. Propag. Lett. 15, 690â693 (2015).
Acknowledgements
This work was supported in part by the Japanese Ministry of Internal Affairs and Communications (MIC) under the Strategic Information and Communications R&D Promotion Program (SCOPE) No. 192106007, the Japan Science and Technology Agency (JST) under the Precursory Research for Embryonic Science and Technology (PRESTO) No. JPMJPR193A, and Japan Society for the Promotion of Science (JSPS) KAKENHI No. 17KK0114 and No. 21H01324. F.B., A.T., and S.V. acknowledge the support of the research contract MANTLES funded by the Italian Ministry of University and Research, PRIN 2017 No. 2017BHFZKH.
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H.W. conceived the idea and designed the project. D.U., R.H., and K.T. primarily performed simulations and measurements under the support of A.A.F., S.M., H.T., H.H., M.R.A., S.V., J.L., A.T., F.B., C.C., and H.W. All authors contributed to analyzing the results and editing the paper.
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Ushikoshi, D., Higashiura, R., Tachi, K. et al. Pulse-driven self-reconfigurable meta-antennas. Nat Commun 14, 633 (2023). https://doi.org/10.1038/s41467-023-36342-1
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DOI: https://doi.org/10.1038/s41467-023-36342-1
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