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  • I am now Professor, Dr. Sci. (Techn.), Head of the Radio Engineering Department in Moscow Aviation Institute (National Research University).edit
Characterizations of the emissions in the near-field of the printed circuit board (PCB) are increasingly being used to provide the information for localization of the physical sources of unintentional radiations. Surface field scanning... more
Characterizations of the emissions in the near-field of the printed circuit board (PCB) are increasingly being used to provide the information for localization of the physical sources of unintentional radiations. Surface field scanning may be used for estimation of radiation characteristics and also for spatial localization of electromagnetic field sources. An additional gain in sensitivity can be achieved by using the cyclostationary properties of the source, which may occur due to the data transferred between separate blocks along the surface of the PCB. A procedure for second-order cyclostationary characterization of the near-field PCB emission is presented and verified by the experimental results. The hardware set-up and the measurement procedure are briefly described. The proposed procedure allows extracting the emissions of the information bearing signals in the presence of periodic signals and stationary noise.
The direction of arrival estimation based on the matrix pencil algorithm is introduced for the random signals, exhibit the cyclostationary properties. The revision of cyclic correlation characteristics is presented. The comparison based... more
The direction of arrival estimation based on the matrix pencil algorithm is introduced for the random signals, exhibit the cyclostationary properties. The revision of cyclic correlation characteristics is presented. The comparison based on the numerical model of two alternative estimation methods (root-MUSIC and matrix pencil algorithm) demonstrate the possibility of improving the quality of the cyclostationary sources localization.
Research Interests:
This paper presents an approach to estimating delays of the cyclostationary signal propagating through tracks of the data bus of a printed circuit board (PCB). The signal path is described by the series of delays estimated using... more
This paper presents an approach to estimating delays of the cyclostationary signal propagating through tracks of the data bus of a printed circuit board (PCB). The signal path is described by the series of delays estimated using cyclostationary characteristics in the frequency domain. A brief overview of cyclostationarity phenomena is given alongside with the designed practical algorithm performing wideband estimation of the spectral correlation density of the signal. Delay estimations obtained with the proposed approach based on cyclic spectral correlation function are much closer to the values evaluated geometrically on planar scheme than delays calculated by means of well-known generalized cross-correlation algorithm (GCC). The proposed algorithm is verified by the results of experiments featuring FPGA board.
Stochastic electromagnetic (EM) fields can be characterized by autoand cross correlation spectra. The amount of data, describing stochastic EM fields can easily become burdensome. Therefore, techniques for reducing the dimensionality of... more
Stochastic electromagnetic (EM) fields can be characterized by autoand cross correlation spectra. The amount of data, describing stochastic EM fields can easily become burdensome. Therefore, techniques for reducing the dimensionality of data characterizing stochastic EM field problems are important, since correlation matrices describing stochastic EM field correlations scale quadratically with the number of observation points. We present a method for order reduction of stochastic electromagnetic field description, based on principal component analysis (PCA). Furthermore, we investigate how the number of principal components (PCs) relates to the number of independent sources and the transversal coherence as the EM field is propagated using an autoand cross correlation based numerical propagator.
In this article, a nonlinear continuum damage mechanics(CDM) model is developed to assess the low cycle fatigue damage of a steam turbine rotor. Two simulation experiments are carried out to introduce theory of CDM. First one makes an... more
In this article, a nonlinear continuum damage mechanics(CDM) model is developed to assess the low cycle fatigue damage of a steam turbine rotor. Two simulation experiments are carried out to introduce theory of CDM. First one makes an effective validation of its serviceability in thermal engineering, and the second one calculates the low cycle fatigue damage on the rotor of a domestic 300 MW steam turbine unit. Based on the relation of the cyclic stress-strain, a conservative character of present continuum damage mechanics model is exhibited. The calculation results are compared with those of the linear accumulation model, thermal entropy model and practical test data. Comparison results indicates that present nonlinear CDM model is able to describe the damage accumulation of turbine rotor more precisely and reasonably in practical thermal engineering.
In this paper the analytical time-domain propagator for stochastic electromagnetic field is proposed. The two-dimensional auto-correlation function and cyclic auto-correlation function can be efficiently used for the far-field... more
In this paper the analytical time-domain propagator for stochastic electromagnetic field is proposed. The two-dimensional auto-correlation function and cyclic auto-correlation function can be efficiently used for the far-field characterization of the printed circuit board (PCB) stochastic radiated emission in the time-domain. The calculated cyclic characteristics using the convolution transformation and the far-field antenna measurements are compared. The validation of the obtained characteristics is demonstrated using normalized impulse antenna response.
The DOA estimation based on the Cyclic MUSIC, Extended Cyclic MUSIC and their parameterization with the Root-Music approaches is introduced for the communication signals with digital modulation, exhibit the cyclostationary properties. The... more
The DOA estimation based on the Cyclic MUSIC, Extended Cyclic MUSIC and their parameterization with the Root-Music approaches is introduced for the communication signals with digital modulation, exhibit the cyclostationary properties. The experimental investigation of the discussed approaches is presented for difficult indoor scenarios include the multipath SOI propagation and powerful in-band interferences.
Printed circuit boards (PCBs) are a source of radiated electromagnetic interference (EMI). Signal data transfer occurring on digital circuits can be considered in EMI modeling as a random process with cyclostationary properties.... more
Printed circuit boards (PCBs) are a source of radiated electromagnetic interference (EMI). Signal data transfer occurring on digital circuits can be considered in EMI modeling as a random process with cyclostationary properties. Electromagnetic fields originating from random or quasi-random source processes with stationary Gaussian probability distribution can be characterized by field-field correlations. For cyclostationary processes, the analysis procedure needs to be extended. In this contribution, we discuss the exposure of cycostationarity in the context of near field correlation analysis.
An accurate characterization of Gaussian stochastic electromagnetic (EM) fields can be achieved by auto- and cross correlation spectra. Multiple probes are required in a measurement setup for obtaining these correlation data. As the... more
An accurate characterization of Gaussian stochastic electromagnetic (EM) fields can be achieved by auto- and cross correlation spectra. Multiple probes are required in a measurement setup for obtaining these correlation data. As the amount of data collected in such a measurement can be substantial, principal component analysis (PCA) can be utilized to reduce the complexity in the subsequent data processing and also for separating statistically independent sources. In cyclostationary problems, cycle frequencies need to be identified before formation of the correlation spectra. PCA is applied by an eigenvalue decomposition of the correlation matrix. Singular value decomposition of a Hankel matrix formed from the observed signal vector yields an identification of cycle frequencies.
Theoretical and experimental evaluation of the cyclostationary random data transferring process corrupted by the individually and jointly cyclostationary crosstalk interference added by stationary noise with possible deterministic... more
Theoretical and experimental evaluation of the cyclostationary random data transferring process corrupted by the individually and jointly cyclostationary crosstalk interference added by stationary noise with possible deterministic component of the synchronizing clock signal is presented. The interference and the message signals were measured by the real time digital oscilloscope and autocorrelation functions were evaluated by synchronous cyclic averaging procedure. The analyzed periodic two-dimensional impulse response of the time-varying filter allows to obtain the output random process with the same cyclic frequency at the output of the filter by separation of orthogonal stationary waveforms constituting the input cyclostationary random process (CSRP). The filtering of the observed measured random process was implemented by cyclic Wiener filter, estimating the message from the measured random signal. The evaluation of two-dimensional autocorrelation function and eye diagrams at the output of the cyclic filter showed significant reduction of the independent interference components in the estimated message signal.
In this paper, we present experimental characterization and analysis of radiated emissions from coupled UAV and smart RFIC Objects (smartphones) in presence of noisy interferers. Spectral and spatial Near-Field responses of radiated... more
In this paper, we present experimental characterization and analysis of radiated emissions from coupled UAV and smart RFIC Objects (smartphones) in presence of noisy interferers. Spectral and spatial Near-Field responses of radiated emissions from coupled Motor (UAV) and Circuit (smartphones) are extracted. Analysis of radiated emissions based on Energy density and Entropy considerations are proposed. Wavelet Multi-Resolution approach is introduced for the simultaneous Time-Frequency identification and localization of stochastic noisy sources.
In this paper a 2D parametric identification algorithm of stochastic electromagnetic interference (EMI) sources based on near-field measurements is presented. The unintentional radiation of electronic devices and connecting cables can be... more
In this paper a 2D parametric identification algorithm of stochastic electromagnetic interference (EMI) sources based on near-field measurements is presented. The unintentional radiation of electronic devices and connecting cables can be measured by using two-point near-field planar scanning probes connected to the digital oscilloscope for ultra-wideband (UWB) time-domain data recording. The characterization of the registered stochastic time-domain field distribution was implemented by evaluating the autocorrelation and cross-correlation spectra. Due to the cyclostationary property of the stochastic information signals, the ensemble averaging procedure allows evaluating amplitudes and initial phases of clock harmonics, used for the synchronization of electronic device and information transmitting through the cables. The radiating object could be modelled as a set of equivalent electrical dipoles arranged on a grid in the object plane. To determine the equivalent dipole moments, the inverse procedure for the estimated clock harmonic was realized assuming the near-field propagation model. The final localization of the equivalent dipoles for the defined clock harmonic was implemented by the application of 2D Matrix Pencil algorithm and Minimum Least Square fitting procedure. The experimental data was processed with proposed parametric identification procedure for a spatial localization of equivalent dipoles and effective sources on the surface of the radiating structure.
The densely integrated electronic devices require ultra-low level of the bit error rate (BER). A huge number of the experiments provides BER estimation using statistical signal processing in multi-conductor transmission lines. In this... more
The densely integrated electronic devices require ultra-low level of the bit error rate (BER). A huge number of the experiments provides BER estimation using statistical signal processing in multi-conductor transmission lines. In this paper the probabilistic model of the combined victim signal and crosstalk voltage is presented. The proposed approach allows to estimate statistical characteristics of different voltage trajectories of measured signals in the transmission lines. The experimental investigation of BERs for different bit rates is performed.
ABSTRACT An important benefit of time-domain full wave analysis of 3D electromagnetic structures is the possibility to obtain broadband information about the electromagnetic properties within a single simulation run. In the case of... more
ABSTRACT An important benefit of time-domain full wave analysis of 3D electromagnetic structures is the possibility to obtain broadband information about the electromagnetic properties within a single simulation run. In the case of low-loss resonant structures like high quality filters the time-domain computation of impulse responses can become very time consuming due to the typically long duration response. System identification methods can be used to reduce the necessary computation time considerably through estimation of the transfer function's pole positions from a much shorter observation window than it would be required for classical discrete Fourier transform.
This paper proposes a cyclostationary based approach to power analysis carried out for electric circuits under arbitrary periodic excitation. Instantaneous power is considered to be a particular case of the two-dimensional cross... more
This paper proposes a cyclostationary based approach to power analysis carried out for electric circuits under arbitrary periodic excitation. Instantaneous power is considered to be a particular case of the two-dimensional cross correlation function (CCF) of the voltage across, and current through, an element in the electric circuit. The cyclostationary notation is used for deriving the frequency domain counterpart of CCF—voltage–current cross spectrum correlation function (CSCF). Not only does the latter exhibit the complete representation of voltage–current interaction in the element, but it can be systematically exploited for evaluating all commonly used power measures, including instantaneous power, in the form of Fourier series expansion. Simulation examples, which are given for the parallel resonant circuit excited by the periodic currents expressed as a finite sum of sinusoids and periodic train of pulses with distorted edges, numerically illustrate the components of voltage–...
The theoretical and experimental evaluation of the cyclostationary random data transferring process corrupted by the individually and jointly cyclostationary crosstalk interference is presented. The interference and the message signals... more
The theoretical and experimental evaluation of the cyclostationary random data transferring process corrupted by the individually and jointly cyclostationary crosstalk interference is presented. The interference and the message signals were measured by the real time digital oscilloscope. Autocorrelation functions were evaluated by synchronous cyclic averaging procedure. The analyzed periodic two-dimensional impulse response of the time-varying filter allows to obtain the output random process with the same cyclic frequency at the output of the filter by separation of orthogonal stationary waveforms constituting the input cyclostationary random process (CSRP). The filtering of the measured random process was implemented by the cyclic Wiener filter. The evaluation of the two-dimensional autocorrelation function and eye diagrams at the output of the cyclic Wiener filter showed significant reduction of the independent interference components in the estimated message signal.
This paper presents equivalent network synthesis techniques for lossy microwave structures. The band limited scattering parameters obtained by measurement or by full wave simulation was used for the network synthesis. This data could be... more
This paper presents equivalent network synthesis techniques for lossy microwave structures. The band limited scattering parameters obtained by measurement or by full wave simulation was used for the network synthesis. This data could be represented by the transfer function of an equivalent circuit containing lumped elements (capacitors, inductances and resistances) and coupling elements (ideal transformers, mutual inductances and immattance inverters). The paper proposes two approaches to the equivalent network synthesis. The first one is based on the multiport Brune algorithm. The second one is based on the microwave structure model consisting of resonators and coupling elements between them. The synthesis procedure is illustrated by the example of the microstrip filter equivalent network design.
ABSTRACT A two dimensional localization algorithm for stochastic EMI sources based on time domain measurements of electromagnetic near-field tangential components is presented. The autocorrelation and cross-correlation functions obtained... more
ABSTRACT A two dimensional localization algorithm for stochastic EMI sources based on time domain measurements of electromagnetic near-field tangential components is presented. The autocorrelation and cross-correlation functions obtained by using the two-point planar scanning system are used for the characterization of stochastic field distribution. The simulation and experimental data are processed for a spatial localization of equivalent point sources. The estimated field distributions and patterns are presented.
In this paper a 2D stochastic EMI sources identification algorithm based on two-point time-domain scanning of electromagnetic near-field tangential components is presented. The radiating structure is considered as a set of simple... more
In this paper a 2D stochastic EMI sources identification algorithm based on two-point time-domain scanning of electromagnetic near-field tangential components is presented. The radiating structure is considered as a set of simple electrical dipoles arranged on a grid in object plane. The autocorrelation and cross-correlation spectra are used for the characterization of stochastic field distribution. These characteristics are used to determine the distribution of dipole moments and to estimate the parameters of the real radiation sources. Typical cases of mutual uncorrelated sources and fully correlated sources are discussed as well as the modeling results. The experimental data was processed with proposed parametric identification procedure for a spatial localization of equivalent dipoles and effective sources inside the structure.
... The stability criterion allows searching two-parametric solution which provides stable set of poles. ... It is seen thesignificant difference between these pole sets. 0.5 ... After the estimation of poles and residue values the... more
... The stability criterion allows searching two-parametric solution which provides stable set of poles. ... It is seen thesignificant difference between these pole sets. 0.5 ... After the estimation of poles and residue values the sub-division of the reflected waveform into early-and late-time ...
The coherent short pulse radar provides high resolution image of the target. A model of this image is composed in the superposition form by complex envelope of signals returned from point-scatterers. In accordance with their positions and... more
The coherent short pulse radar provides high resolution image of the target. A model of this image is composed in the superposition form by complex envelope of signals returned from point-scatterers. In accordance with their positions and reflection coefficients the values of complex envelope are distributed over radar image coordinate plane. Radar image model is based on known radar pulse envelope and pattern of the antenna. The parameters of the target point scatterers are processed in the frequency domain using one dimensional data extracted from the complex discrete Fourier transformed image. Matrix pencil algorithm is used for the parametrical target identification. This approach is characterized by the ambiguity of the point scatterers positioning in the coordinate plane. Rotation of the image axes is used to provide a disambiguation.
Research Interests:
ABSTRACT
ABSTRACT Localization algorithm for stochastic EMI sources based on time domain planar near-field scanning of tangential electromagnetic field components emitted by a complex radiated structure is presented. The main theory aspects of the... more
ABSTRACT Localization algorithm for stochastic EMI sources based on time domain planar near-field scanning of tangential electromagnetic field components emitted by a complex radiated structure is presented. The main theory aspects of the field reconstruction in the object plane as well as the main limitations for scanning parameters are also discussed for the proposed localization procedure. The autocorrelation and cross-correlation functions obtained by using the two-point planar scanning system are used for the characterization of stochastic field distribution. An example of point sources localization both in frequency and spatial domain is presented based on the modeling and measurement results.
Research Interests:
Московский авиационный институт (государственный технический университет) — традиции, инновации, достижения.
ABSTRACT A two-port Brune's process is applied to generate a lumped element equivalent circuit model of a Chebyshev filter of order 11 based on measured data. From the measured S parameters a rational function description is... more
ABSTRACT A two-port Brune's process is applied to generate a lumped element equivalent circuit model of a Chebyshev filter of order 11 based on measured data. From the measured S parameters a rational function description is obtained by a vector fitting procedure applied on tabular data. From this the Brune's lumped element equivalent circuit is directly derived. The lumped element circuit model accounts also for the circuit losses and exhibits positive circuit elements only.
Stochastic electromagnetic fields originating from processes in digital circuitry affect the operation of the circuit, increase the error rate in the transmission of digital signals, degrade the circuit's performance, yield... more
Stochastic electromagnetic fields originating from processes in digital circuitry affect the operation of the circuit, increase the error rate in the transmission of digital signals, degrade the circuit's performance, yield malfunction of the system or even lead to a complete failure of the system's operation. Interference from stochastic fields are not only disruptive but are becoming more common due to the increasing complexity of modern electronics. Stochastic electromagnetic fields under common circumstances are due to a mixture of emissions from different sources, which makes a quantification of stochastic fields very challenging. Since digital signals are clocked, the ensemble averages of the electromagnetic field transients representing the digital signal exhibit a periodic time dependence with the period of the clock interval. The probabilistic model of the cyclostationary random process was composed by appropriate transformations of the initial discrete random proce...
Multi-port models of wireless transmission links yield an accurate description of the physical properties of the transmission link. A systematic procedure for the generation of combined lumped element/delay line equivalent circuits for... more
Multi-port models of wireless transmission links yield an accurate description of the physical properties of the transmission link. A systematic procedure for the generation of combined lumped element/delay line equivalent circuits for wireless transmission is described. Lumped element equivalent circuits provide compact models of distributed microwave cir- cuits. The modeling of wireless transmission links exhibiting long signal propagation delay times,
An important benefit of time-domain full wave analysis of 3D electromagnetic structures is the possibility to obtain broadband information about the electromagnetic properties within a single simulation run. In the case of low-loss... more
An important benefit of time-domain full wave analysis of 3D electromagnetic structures is the possibility to obtain broadband information about the electromagnetic properties within a single simulation run. In the case of low-loss resonant structures like high quality filters the time-domain computation of impulse responses can become very time consuming due to the typically long duration response. System identification methods can be used to reduce the necessary computation time considerably through estimation of the transfer function's pole positions from a much shorter observation window than it would be required for classical discrete Fourier transform.
The optimization of electromagnetic structures demands for a fast and efficient field solver in combination with a flexible and stable optimization method. In this work we present the time domain based transmission line matrix (TLM)... more
The optimization of electromagnetic structures demands for a fast and efficient field solver in combination with a flexible and stable optimization method. In this work we present the time domain based transmission line matrix (TLM) method in conjunction with the genetic algorithm (GA) for the design optimization. The proposed technique is advantageous compared to conventional frequency domain methods when several
ABSTRACT The information about shape and geometrical dimensions of the moving target can be extracted using Doppler spectrum. The short observation time interval corresponds to constant speeds of target scatterers as well as low... more
ABSTRACT The information about shape and geometrical dimensions of the moving target can be extracted using Doppler spectrum. The short observation time interval corresponds to constant speeds of target scatterers as well as low resolution by Doppler frequency shift. Methods of spectral estimation are applied to identify the scatterer parameters. Two methods of a target Doppler spectrum model order selection based on information criteria are presented.

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