Mr. Jerry L. Silvious Profile

Jerry L. Silvious

at DEVCOM Army Research Lab

SPIE Involvement:

Author

Proceedings Article | 8 May 2018 Paper

Calibrated radar cross section measurements of various helicopter landing zone hazards at 94 GHz

David Wikner, Jerry Silvious, Robert Bender

Proceedings Volume 10634, 1063404 (2018) https://doi.org/10.1117/12.2309794

KEYWORDS: Radar, Polarization, Calibration, Signal processing, Polarimetry, Synthetic aperture radar

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Proceedings Article | 29 May 2014 Paper

Extremely high-frequency micro-Doppler measurements of humans

Abigail Hedden, Jerry Silvious, Charles Dietlein, Jeremy Green, David Wikner

Proceedings Volume 9077, 90771C (2014) https://doi.org/10.1117/12.2050572

KEYWORDS: Radar, Waveguides, Data acquisition, Signal attenuation, Extremely high frequency, Optical spheres, Structural health monitoring, Calibration, Backscatter, Sensors

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Proceedings Article | 29 May 2014 Paper

Spectrum sensing techniques for nonlinear radar

Anthony Martone, Kenneth Ranney, Gregory Mazzaro, David McNamara, Jerry Silvious, Kelly Sherbondy, Kyle Gallagher, Ram Narayanan

Proceedings Volume 9077, 90770D (2014) https://doi.org/10.1117/12.2057835

KEYWORDS: Radar, Binary data, Optical filters, Sensing systems, Filtering (signal processing), Complex systems, Target detection, Data acquisition, Digital signal processing, Fourier transforms

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Proceedings Article | 31 May 2013 Paper

Initial experimental results using the noise correlation radar

Mark Govoni, Jerry Silvious, John Clark, Charles Overman

Proceedings Volume 8714, 871407 (2013) https://doi.org/10.1117/12.2016619

KEYWORDS: Radar, Receivers, Modulation, Phase modulation, Phase shift keying, Heterodyning, Target detection, Transmitters, Analytical research, Electronics

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Proceedings Article | 4 May 2012 Paper

Radar tracking and classification of littoral targets

Jerry Silvious, Dave Tahmoush

Proceedings Volume 8361, 83610D (2012) https://doi.org/10.1117/12.920792

KEYWORDS: Radar, Surveillance, Target detection, Cameras, Analytical research, Doppler effect, Radar sensor technology, Velocity measurements, Environmental sensing, Current controlled current source

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Proceedings Article | 4 May 2012 Paper

Radar micro-Doppler simulations of classification capability with frequency

David Tahmoush, Jerry Silvious

Proceedings Volume 8361, 83610Z (2012) https://doi.org/10.1117/12.920791

KEYWORDS: Radar, Doppler effect, Motion models, Analytical research, Motion estimation, Unattended ground sensors, Scattering, Ku band, Feature extraction, Signal generators

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Proceedings Article | 21 June 2011 Paper

Visualizing and displaying radar micro-doppler data

David Tahmoush, Jerry Silvious

Proceedings Volume 8021, 80210A (2011) https://doi.org/10.1117/12.883447

KEYWORDS: Radar, Doppler effect, Visualization, Biometrics, Analytical research, Radar imaging, Target detection, Feature extraction, Independent component analysis, Data analysis

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Proceedings Article | 21 June 2011 Paper

Human polarimetric micro-doppler

David Tahmoush, Jerry Silvious

Proceedings Volume 8021, 802106 (2011) https://doi.org/10.1117/12.883444

KEYWORDS: Radar, Polarimetry, Doppler effect, Motion measurement, Ka band, Analytical research, Feature extraction, Distance measurement, Polarization, Motion models

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Modern radars can pick up target motions other than just the principle target Doppler; they pick out the small micro-Doppler variations as well. These can be used to visually identify both the target type as well as the target activity. We model and measure some of the micro-Doppler motions that are amenable to polarimetric measurement. Understanding the capabilities and limitations of radar systems that utilize micro-Doppler to measure human characteristics is important for improving the effectiveness of these systems at securing areas. In security applications one would like to observe humans unobtrusively and without privacy issues, which make radar an effective approach. In this paper we focus on the characteristics of radar systems designed for the estimation of human motion for the determination of whether someone is loaded. Radar can be used to measure the direction, distance, and radial velocity of a walking person as a function of time. Detailed radar processing can reveal more characteristics of the walking human. The parts of the human body do not move with constant radial velocity; the small micro-Doppler signatures are timevarying and therefore analysis techniques can be used to obtain more characteristics. Looking for modulations of the radar return from arms, legs, and even body sway are being assessed by researchers. We analyze these techniques and focus on the improved performance that fully polarimetric radar techniques can add. We perform simulations and fully polarimetric measurements of the varying micro-Doppler signatures of humans as a function of elevation angle and azimuthal angle in order to try to optimize this type of system for the detection of arm motion, especially for the determination of whether someone is carrying something in their arms. The arm is often bent at the elbow, providing a surface similar to a dihedral. This is distinct from the more planar surfaces of the body and allows us to separate the signals from the arm (and knee) motion from the rest of the body. The double-bounce can be measured in polarimetric radar data by measuring the phase difference between HH and VV. Additionally, the cross-pol and co-pol Doppler signatures are analyzed, showing that the HH polarization may perform better on dismounts in open grass.

Proceedings Article | 28 October 2010 Paper

A radar unattended ground sensor with micro-Doppler capabilities for false alarm reduction

Dave Tahmoush, Jerry Silvious, Ed Burke

Proceedings Volume 7833, 78330I (2010) https://doi.org/10.1117/12.864959

KEYWORDS: Radar, Unattended ground sensors, Signal processing, Doppler effect, Digital signal processing, Sensors, Radar signal processing, Target detection, Antennas, Radar sensor technology

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Unattended ground sensors (UGS) provide the capability to inexpensively secure remote borders and other areas of interest. However, the presence of normal animal activity can often trigger a false alarm. Accurately detecting humans and distinguishing them from natural fauna is an important issue in security applications to reduce false alarm rates and improve the probability of detection. In particular, it is important to detect and classify people who are moving in remote locations and transmit back detections and analysis over extended periods at a low cost and with minimal maintenance. We developed and demonstrate a compact radar technology that is scalable to a variety of ultra-lightweight and low-power platforms for wide area persistent surveillance as an unattended, unmanned, and man-portable ground sensor. The radar uses micro-Doppler processing to characterize the tracks of moving targets and to then eliminate unimportant detections due to animals as well as characterize the activity of human detections. False alarms from sensors are a major liability that hinders widespread use. Incorporating rudimentary intelligence into sensors can reduce false alarms but can also result in a reduced probability of detection. Allowing an initial classification that can be updated with new observations and tracked over time provides a more robust framework for false alarm reduction at the cost of additional sensor observations. This paper explores these tradeoffs with a small radar sensor for border security. Multiple measurements were done to try to characterize the micro-Doppler of human versus animal and vehicular motion across a range of activities. Measurements were taken at the multiple sites with realistic but low levels of clutter. Animals move with a quadrupedal motion, which can be distinguished from the bipedal human motion. The micro-Doppler of a vehicle with rotating parts is also shown, along with ground truth images. Comparisons show large variations for different types of motion by the same type of animal. This paper presents the system and data on humans, vehicles, and animals at multiple angles and directions of motion, demonstrates the signal processing approach that makes the targets visually recognizable, verifies that the UGS radar has enough micro-Doppler capability to distinguish between humans, vehicles, and animals, and analyzes the probability of correct classification.

Proceedings Article | 27 April 2010 Paper

An UGS radar with micro-Doppler capabilities for wide area persistent surveillance

Dave Tahmoush, Jerry Silvious, John Clark

Proceedings Volume 7669, 766904 (2010) https://doi.org/10.1117/12.848233

KEYWORDS: Radar, Unattended ground sensors, Doppler effect, Surveillance, Sensors, Fourier transforms, Signal processing, Feature extraction, Analytical research, Information security

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Proceedings Article | 27 April 2010 Paper

Radar system on a large autonomous vehicle for personnel avoidance

Jerry Silvious, Ron Wellman, Dave Tahmoush, John Clark

Proceedings Volume 7669, 766905 (2010) https://doi.org/10.1117/12.850420

KEYWORDS: Radar, Doppler effect, Video, Sensors, Global Positioning System, Environmental sensing, Robots, Velocity measurements, Antennas, Analytical research

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Proceedings Article | 18 January 2010 Paper

Recognizing and tracking humans and vehicles using radar

David Tahmoush, Jerry Silvious

Proceedings Volume 7539, 753907 (2010) https://doi.org/10.1117/12.837083

KEYWORDS: Radar, Doppler effect, Sensors, Feature extraction, Detection and tracking algorithms, Video, Analytical research, Environmental sensing, Robotics, Gait analysis

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Proceedings Article | 29 April 2009 Paper

Micro-Doppler phenomenology of humans at UHF and Ku-band for biometric characterization

Jerry Silvious, John Clark, Thomas Pizzillo, Dave Tahmoush

Proceedings Volume 7308, 73080X (2009) https://doi.org/10.1117/12.820995

KEYWORDS: Biometrics, Radar, Doppler effect, Ku band, Phase modulation, Chest, Amplitude modulation, Analytical research, Scattering, Signal generators

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Showing 5 of 13 publications

Conference Committee Involvement (12)

Radar Sensor Technology XXIII

15 April 2019 | Baltimore, MD, United States

Radar Sensor Technology XXII

16 April 2018 | Orlando, FL, United States

Radar Sensor Technology XXI

10 April 2017 | Anaheim, CA, United States

Radar Sensor Technology XX

18 April 2016 | Baltimore, MD, United States

Radar Sensor Technology XIX

20 April 2015 | Baltimore, MD, United States

Showing 5 of 12 Conference Committees

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