Mr. Jerry L. Silvious Profile

Mr. Jerry L. Silvious

at US Army Research Lab

SPIE Involvement:

Conference Program Committee | Author

Publications (13)

PROCEEDINGS ARTICLE | May 8, 2018

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

Proc. SPIE. 10634, Passive and Active Millimeter-Wave Imaging XXI

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

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PROCEEDINGS ARTICLE | May 29, 2014

Extremely high-frequency micro-Doppler measurements of humans

Proc. SPIE. 9077, Radar Sensor Technology XVIII

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

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PROCEEDINGS ARTICLE | May 29, 2014

Spectrum sensing techniques for nonlinear radar

Proc. SPIE. 9077, Radar Sensor Technology XVIII

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

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PROCEEDINGS ARTICLE | May 31, 2013

Initial experimental results using the noise correlation radar

Proc. SPIE. 8714, Radar Sensor Technology XVII

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

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PROCEEDINGS ARTICLE | May 4, 2012

Radar micro-Doppler simulations of classification capability with frequency

Proc. SPIE. 8361, Radar Sensor Technology XVI

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

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PROCEEDINGS ARTICLE | May 4, 2012

Radar tracking and classification of littoral targets

Proc. SPIE. 8361, Radar Sensor Technology XVI

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

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PROCEEDINGS ARTICLE | June 21, 2011

Human polarimetric micro-doppler

Proc. SPIE. 8021, Radar Sensor Technology XV

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

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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 | June 21, 2011

Visualizing and displaying radar micro-doppler data

Proc. SPIE. 8021, Radar Sensor Technology XV

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

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PROCEEDINGS ARTICLE | October 28, 2010

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

Proc. SPIE. 7833, Unmanned/Unattended Sensors and Sensor Networks VII

KEYWORDS: Target detection, Radar, Digital signal processing, Doppler effect, Sensors, Signal processing, Antennas, Radar signal processing, Unattended ground sensors, 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 | April 27, 2010

Radar system on a large autonomous vehicle for personnel avoidance

Proc. SPIE. 7669, Radar Sensor Technology XIV

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

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PROCEEDINGS ARTICLE | April 27, 2010

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

Proc. SPIE. 7669, Radar Sensor Technology XIV

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

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PROCEEDINGS ARTICLE | January 18, 2010

Recognizing and tracking humans and vehicles using radar

Proc. SPIE. 7539, Intelligent Robots and Computer Vision XXVII: Algorithms and Techniques

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

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PROCEEDINGS ARTICLE | April 29, 2009

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

Proc. SPIE. 7308, Radar Sensor Technology XIII

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

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