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Proceedings Paper

Intelligent target recognition using micro-Doppler radar signatures
Author(s): Thayananthan Thayaparan; Ljubisa Stankovic; Igor Djurovic; Suresh Penamati; Kamisetti Venkataramaniah
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Paper Abstract

We present an effective quadratic time-frequency S-method based approach in conjunction with the Viterbi algorithm to extract m-D features. The effectiveness of the S-method in extracting m-D features is demonstrated through the application to indoor and outdoor experimental data sets such as rotating fan and human gait. The Viterbi algorithm for the instantaneous frequency estimation is used to enhance the weak human micro-Doppler features in relatively high noise environments. As such, this paper contributes additional experimental micro-Doppler data and analysis, which should help in developing a better picture of the human gait micro-Doppler research and its applications to indoor and outdoor imaging and automatic gait recognition systems.

Paper Details

Date Published: 29 April 2009
PDF: 11 pages
Proc. SPIE 7308, Radar Sensor Technology XIII, 730817 (29 April 2009); doi: 10.1117/12.819331
Show Author Affiliations
Thayananthan Thayaparan, Defence R&D Canada (Canada)
Ljubisa Stankovic, Univ. of Montenegro (Montenegro)
Igor Djurovic, Univ. of Montenegro (Montenegro)
Suresh Penamati, Sri Sathya Sai Univ. (India)
Kamisetti Venkataramaniah, Sri Sathya Sai Univ. (India)

Published in SPIE Proceedings Vol. 7308:
Radar Sensor Technology XIII
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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