Micro-Doppler separation from Time Frequency Distribution based on direction pattern

Abstract

Micro-Doppler (m-D) is a useful feature of radar target, as an important characteristic for radar target detection, recognition, and classification. However, since the form of m-D signals is always multi-component, the signals usually need to be separated before feature extraction. A method for separation the m-D signals is proposed based on direction pattern. In this paper, we first obtain the Time Frequency Distribution (TFD) of the target echo by Short-Time Fourier Transformer (STFT). Then the local maxima algorithm is applied for the instantaneous frequency (IF) track coherence. Finally, the direction patter algorithm is used to separate the m-D signals. Simulation results indicate that the proposed method is effective.

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Cite this paper

@article{Zhiren2014MicroDopplerSF, title={Micro-Doppler separation from Time Frequency Distribution based on direction pattern}, author={Chen Zhi-ren and Gu Hong and Su Wei-min and Wang Zhao}, journal={2014 12th International Conference on Signal Processing (ICSP)}, year={2014}, pages={2116-2119} }