Print Email Facebook Twitter Self-similarity matrix based slow-time feature extraction for human target in high-resolution radar Title Self-similarity matrix based slow-time feature extraction for human target in high-resolution radar Author He, Y. Aubry, P. Le Chevalier, F. Yarovoy, A. Faculty Electrical Engineering, Mathematics and Computer Science Department Microelectronics Date 2014-03-25 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. Subject self-similarity matrixslow-time featurehuman target analysishigh-resolution radar To reference this document use: http://resolver.tudelft.nl/uuid:d8adc5b6-82f6-4960-a97b-a2e82009d052 DOI https://doi.org/10.1017/S1759078714000087 Publisher Cambridge University Press Embargo date 2015-03-25 ISSN 1474-0028 Source International Journal of Microwave and Wireless Technologies, FirstView Article pp 1-12 Part of collection Institutional Repository Document type journal article Rights (c) 2014 Cambridge University Press and the European Microwave Association Files PDF he_aubry_2014.pdf 1.78 MB Close viewer /islandora/object/uuid:d8adc5b6-82f6-4960-a97b-a2e82009d052/datastream/OBJ/view