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Proceedings Paper

Micro-doppler radar classification of human motions under various training scenarios
Author(s): Dustin P. Fairchild; Ram M. Narayanan
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Paper Abstract

The identification and classification of human motions has become a popular area of research due to its broad range of applications. Knowledge of a person's movements can be a useful tool in surveillance, security, military combat, search and rescue operations, and the medical fields. Classification of common stationary human movements has been performed under various scenarios for two different micro-Doppler radar systems: S-band radar and millimeter-wave (mm-wave) radar. Each radar system has been designed for a specific scenario. The S-band radar is intended for through-the-wall situations at close distances, whereas the mm-wave radar is designed for long distance applications and also for through light foliage. Here, the performance of these radars for different training scenarios is investigated. The S-band radar will be analyzed for classification without a wall barrier, through a brick wall, and also through a cinder block wall. The effect of a wall barrier on micro-Doppler signatures will be briefly discussed. The mm-wave radar will be analyzed for classification at distances of 30, 60, and 91 meters.

Paper Details

Date Published: 23 May 2013
PDF: 11 pages
Proc. SPIE 8734, Active and Passive Signatures IV, 873407 (23 May 2013); doi: 10.1117/12.2016651
Show Author Affiliations
Dustin P. Fairchild, Pennsylvania State Univ. (United States)
Ram M. Narayanan, Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 8734:
Active and Passive Signatures IV
G. Charmaine Gilbreath; Chadwick Todd Hawley, Editor(s)

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