Intelligent target recognition using micro-Doppler radar signatures

Thayananthan Thayaparan; Ljubisa Stankovic; Igor Djurovic; Suresh Penamati; Kamisetti Venkataramaniah

doi:10.1117/12.819331

29 April 2009 Intelligent target recognition using micro-Doppler radar signatures

Thayananthan Thayaparan, Ljubisa Stankovic, Igor Djurovic, Suresh Penamati, Kamisetti Venkataramaniah

Proceedings Volume 7308, Radar Sensor Technology XIII; 730817 (2009) https://doi.org/10.1117/12.819331
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Thayananthan Thayaparan, Ljubisa Stankovic, Igor Djurovic, Suresh Penamati, and Kamisetti Venkataramaniah "Intelligent target recognition using micro-Doppler radar signatures", Proc. SPIE 7308, Radar Sensor Technology XIII, 730817 (29 April 2009); https://doi.org/10.1117/12.819331

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