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Proceedings Paper

Determining human target facing orientation using bistatic radar micro-Doppler signals
Author(s): Dustin P. Fairchild; Ram M. Narayanan
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Paper Abstract

Micro-Doppler radar signals can be used to separate moving human targets from stationary clutter and also to identify and classify human movements. Traditional micro-Doppler radar systems which use a single sensor, monostatic system, suffer from the drawback that only the radial component of the micro-Doppler signal will be observed by the radar operator. This reduces the sensitivity of human activity recognition if the movements are not directly towards or away with respect to the line-of-sight to the radar antenna. In this paper, we propose the use of two bistatic micro-Doppler sensors to overcome this limitation. By using multiple sensors, the orientation of oscillating targets with respect to the radar line-of-sight can be inferred, thereby providing additional information to the radar operator. This approach can be used to infer the facing direction of the human with respect to the radar beam.

Paper Details

Date Published: 4 June 2014
PDF: 9 pages
Proc. SPIE 9082, Active and Passive Signatures V, 908203 (4 June 2014); doi: 10.1117/12.2047240
Show Author Affiliations
Dustin P. Fairchild, The Pennsylvania State Univ. (United States)
Ram M. Narayanan, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 9082:
Active and Passive Signatures V
G. Charmaine Gilbreath; Chadwick Todd Hawley, Editor(s)

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