Paper
26 April 2010 An UGS radar with micro-Doppler capabilities for wide area persistent surveillance
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Abstract
Detecting humans and distinguishing them from natural fauna is an important issue in security applications to reduce false alarm rates. In particular, it is important to detect and classify people who are walking in remote locations and transmit back detections over extended periods at a low cost and with minimal maintenance. The ability to discriminate men versus animals and vehicles at long range would give a distinct sensor advantage. The reduction in false positive detections due to animals would increase the usefulness of detections, while dismount identification could reduce friendly-fire. 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 or civilian activity. 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, and verifies that the UGS radar has enough micro-Doppler capability to distinguish between humans, vehicles, and animals.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dave Tahmoush, Jerry Silvious, and John Clark "An UGS radar with micro-Doppler capabilities for wide area persistent surveillance", Proc. SPIE 7669, Radar Sensor Technology XIV, 766904 (26 April 2010); https://doi.org/10.1117/12.848233
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Cited by 6 scholarly publications.
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KEYWORDS
Radar

Unattended ground sensors

Doppler effect

Surveillance

Fourier transforms

Sensors

Feature extraction

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