Funded by the NSF CubeSat and NASA ELaNa programs, the Dynamic Ionosphere CubeSat Experiment (DIC... more Funded by the NSF CubeSat and NASA ELaNa programs, the Dynamic Ionosphere CubeSat Experiment (DICE) mission consists of two 1.5U CubeSats which were launched into an eccentric low Earth orbit on October 28, 2011. Each identical spacecraft carries two Langmuir probes to measure ionospheric in-situ plasma densities, electric field probes to measure in-situ DC and AC electric fields, and a magnetometer to measure in-situ DC and AC magnetic fields. Given the tight integration of these multiple sensors with the CubeSat platforms, each of the DICE spacecraft is effectively a “sensor-sat” capable of comprehensive ionospheric diagnostics. Over time, the sensor-sats will separate relative to each other due to differences in the ejection velocity and enable accurate identification of geospace storm-time features, such as the geomagnetic Storm Enhanced Density (SED) bulge and plume. The use of two identical sensor-sats permits the de-convolution of spatial and temporal ambiguities in the obser...
Backscatter radio is an intriguing technology for Internet of Things applications, which enables ... more Backscatter radio is an intriguing technology for Internet of Things applications, which enables ultra-low-power devices to communicate with each other. Most of the existing works on the combination of the backscatter communications and the “harvest-then-transfer” (HTT) protocol focus on the throughput maximization, yet the study on the energy efficiency (EE) maximization is still lacking. Driven by this observation, this paper studies the EE maximization for an RF-powered backscatter network with the HTT protocol. Multiple hybrid devices (HDs) can either use the backscatter mode by backscattering energy signals from the power beacon (PB) to the reader or use the HTT protocol to first harvest energy from the PB, and then to transmit data to the reader. The proposed scheme aims to optimize multiple parameters including PB's transmit power and time, HDs’ transmit power and time allocation between the backscatter mode and the HTT mode for maximizing the EE of all the HDs. An iterative algorithm is developed to find the optimal solution for the proposed resource allocation scheme. Simulation results demonstrate the superiority of the proposed scheme in terms of EE of all the HDs.
A method for using deep neural networks (DNN) to perform RF emitter localization is presented. Th... more A method for using deep neural networks (DNN) to perform RF emitter localization is presented. The localization is performed using a DNN to perform dual modality sensor fusion to associate observed RF emissions and detected potential RF emitters. A synthetic dataset is presented as a means of evaluating the validity of the approach in a simplified setting.
2015 49th Asilomar Conference on Signals, Systems and Computers, 2015
Two-path echo cancelers offer an effective mechanism to deal with the double-talk problem. A fixe... more Two-path echo cancelers offer an effective mechanism to deal with the double-talk problem. A fixed foreground (FG) filter cancels echo while an adaptive background (BG) filter learns the echo path response. The coefficients of the BG filter are transfered to the FG filter when a set of fitness conditions are satisfied. Whereas previous works used memoryless metrics in the coefficient transfer logic, this paper demonstrates that historical information gives a more complete picture about the convergence and non-convergence of the BG filter. History- based transfer logic yields robust performance during double- talk and barge-in events.
As a part of the Maui-MALT program, the Utah State University Mesospheric Temperature Mapper (MTM... more As a part of the Maui-MALT program, the Utah State University Mesospheric Temperature Mapper (MTM) has operated continuously at Maui-Hawaii since November 2001. Over 1000 nights of high quality data on Mesospheric temperatures using the near infra red OH and O$_{2}$ ...
2008 42nd Asilomar Conference on Signals, Systems and Computers, 2008
Expected loss or Bayes risk is taken as a criterion for adaptive linear equalization. In this pap... more Expected loss or Bayes risk is taken as a criterion for adaptive linear equalization. In this paper loss functions are chosen to weight more serious error events more heavily than less serious events and correct decision. New adaptive algorithms are derived leading to faster convergence and lower steady state error rates than previously proposed error rate minimizing algorithms.
Funded by the NSF CubeSat and NASA ELaNa programs, the Dynamic Ionosphere CubeSat Experiment (DIC... more Funded by the NSF CubeSat and NASA ELaNa programs, the Dynamic Ionosphere CubeSat Experiment (DICE) mission consists of two 1.5U CubeSats which were launched into an eccentric low Earth orbit on October 28, 2011. Each identical spacecraft carries two Langmuir probes to measure ionospheric in-situ plasma densities, electric field probes to measure in-situ DC and AC electric fields, and a magnetometer to measure in-situ DC and AC magnetic fields. Given the tight integration of these multiple sensors with the CubeSat platforms, each of the DICE spacecraft is effectively a “sensor-sat” capable of comprehensive ionospheric diagnostics. Over time, the sensor-sats will separate relative to each other due to differences in the ejection velocity and enable accurate identification of geospace storm-time features, such as the geomagnetic Storm Enhanced Density (SED) bulge and plume. The use of two identical sensor-sats permits the de-convolution of spatial and temporal ambiguities in the obser...
Backscatter radio is an intriguing technology for Internet of Things applications, which enables ... more Backscatter radio is an intriguing technology for Internet of Things applications, which enables ultra-low-power devices to communicate with each other. Most of the existing works on the combination of the backscatter communications and the “harvest-then-transfer” (HTT) protocol focus on the throughput maximization, yet the study on the energy efficiency (EE) maximization is still lacking. Driven by this observation, this paper studies the EE maximization for an RF-powered backscatter network with the HTT protocol. Multiple hybrid devices (HDs) can either use the backscatter mode by backscattering energy signals from the power beacon (PB) to the reader or use the HTT protocol to first harvest energy from the PB, and then to transmit data to the reader. The proposed scheme aims to optimize multiple parameters including PB's transmit power and time, HDs’ transmit power and time allocation between the backscatter mode and the HTT mode for maximizing the EE of all the HDs. An iterative algorithm is developed to find the optimal solution for the proposed resource allocation scheme. Simulation results demonstrate the superiority of the proposed scheme in terms of EE of all the HDs.
A method for using deep neural networks (DNN) to perform RF emitter localization is presented. Th... more A method for using deep neural networks (DNN) to perform RF emitter localization is presented. The localization is performed using a DNN to perform dual modality sensor fusion to associate observed RF emissions and detected potential RF emitters. A synthetic dataset is presented as a means of evaluating the validity of the approach in a simplified setting.
2015 49th Asilomar Conference on Signals, Systems and Computers, 2015
Two-path echo cancelers offer an effective mechanism to deal with the double-talk problem. A fixe... more Two-path echo cancelers offer an effective mechanism to deal with the double-talk problem. A fixed foreground (FG) filter cancels echo while an adaptive background (BG) filter learns the echo path response. The coefficients of the BG filter are transfered to the FG filter when a set of fitness conditions are satisfied. Whereas previous works used memoryless metrics in the coefficient transfer logic, this paper demonstrates that historical information gives a more complete picture about the convergence and non-convergence of the BG filter. History- based transfer logic yields robust performance during double- talk and barge-in events.
As a part of the Maui-MALT program, the Utah State University Mesospheric Temperature Mapper (MTM... more As a part of the Maui-MALT program, the Utah State University Mesospheric Temperature Mapper (MTM) has operated continuously at Maui-Hawaii since November 2001. Over 1000 nights of high quality data on Mesospheric temperatures using the near infra red OH and O$_{2}$ ...
2008 42nd Asilomar Conference on Signals, Systems and Computers, 2008
Expected loss or Bayes risk is taken as a criterion for adaptive linear equalization. In this pap... more Expected loss or Bayes risk is taken as a criterion for adaptive linear equalization. In this paper loss functions are chosen to weight more serious error events more heavily than less serious events and correct decision. New adaptive algorithms are derived leading to faster convergence and lower steady state error rates than previously proposed error rate minimizing algorithms.
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Papers by Jake Gunther