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Proceedings Paper

Radar micro-Doppler simulations of classification capability with frequency
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Paper Abstract

Classifying human signatures using radar requires a detailed understanding of the RF scattering phenomenology associated with humans as well as their motion. We model humans engaged in the activity of walking and analyze the separability of different body parts with frequency as well as lookdown angle. This work seeks to estimate the ability to classify the micro-Doppler signals generated by human motion, and especially arm motion, as a function of the radar frequency and other parameters. The simulations imply that for classification using arm motion, frequencies at Ku-band or higher are probably required, and that lookdown angle has a significant effect on the classification capability of the radar. Additionally, the sensitivity of the system required to isolate the motion of different body parts is estimated.

Paper Details

Date Published: 4 May 2012
PDF: 9 pages
Proc. SPIE 8361, Radar Sensor Technology XVI, 83610Z (4 May 2012); doi: 10.1117/12.920791
Show Author Affiliations
David Tahmoush, U.S. Army Research Lab. (United States)
Jerry Silvious, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 8361:
Radar Sensor Technology XVI
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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