Self-similarity matrix based slow-time feature extraction for human target in high-resolution radar

Journal article (2014)
Department
Microelectronics (EEMCS) (TU Delft)
Copyright: © 2014 Cambridge University Press and the European Microwave Association
DOI: https://doi.org/doi:10.1017/S1759078714000087
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Published Date

25-03-2014

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Source:

International Journal of Microwave and Wireless Technologies, FirstView Article pp 1-12

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Abstract

A new approach is proposed to extract the slow-time feature of human motion in high-resolution radars. The approach is based on the self-similarity matrix (SSM) of the radar signals. The Mutual Information is used as a measure of similarity. The SSMs of different radar signals (high-resolution range profile, micro-Doppler, and range-Doppler video sequence) are compared, and the angel-invariant property of the SSMs is demonstrated. The SSM for different activities (i.e. walking and running) is extracted from range-Doppler video sequence and analyzed. Finally, simulation result is validated by experimental data.