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

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...

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Bibliographic Details
Published in:Signal, image and video processing image and video processing, 2013-05, Vol.7 (3), p.593-605
Main Authors: Li, Po, Wang, De-Chun, Wang, Lu
Format: Article
Language:English
Subjects:
Computer Imaging
Computer Science
Image Processing and Computer Vision
Multimedia Information Systems
Original Paper
Pattern Recognition and Graphics
Signal,Image and Speech Processing
Vision
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Summary: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.
ISSN:1863-1703
1863-1711
DOI:10.1007/s11760-011-0263-3