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Separation of micro-Doppler signals based on time frequency filter and Viterbi algorithm

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Abstract

Micro-Doppler (m-D) effect is potential useful in radar target detection, recognition, and classification. While the m-D signals are always multicomponent, it is important to separate the m-D signals for feature extraction. This paper introduces a separation algorithm based on time-frequency filter (TFF). When the m-D multicomponent signals are always overlapped in TF plane, Viterbi algorithm on time-frequency distribution is used to firstly estimate the instantaneous frequencies, then an automatic TFF is designed to filter and synthesize the interesting m-D signal. Simulation results show that the proposed algorithm can effectively extract the m-D signals even in a relatively high noise environment.

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Authors and Affiliations

  1. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China

    Po Li & De-Chun Wang

  2. Department of Physics, Nanjing University of Information Science and Technology, Nanjing, China

    Lu Wang

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  1. Po Li
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  2. De-Chun Wang
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  3. Lu Wang
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Correspondence to Po Li.

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Li, P., Wang, DC. & Wang, L. Separation of micro-Doppler signals based on time frequency filter and Viterbi algorithm. SIViP 7, 593–605 (2013). https://doi.org/10.1007/s11760-011-0263-3

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  • DOI: https://doi.org/10.1007/s11760-011-0263-3

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