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Ground Targets Classification Based on Micro-Doppler Effect |
Li Yan-bing Du Lan Liu Hong-wei Ding Su-ying Guan Yong-sheng |
National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China |
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Abstract Classification of track vehicle and wheel vehicle by using low-resolution radar echo is a challenging problem in radar ground target automatic classification community. This paper establishes an echo signal model for track vehicle and wheel vehicle based on micro-doppler effect. According to the echo signal model, a new feature extraction method is proposed by using the CLEAN algorithm. The feature reveals the energy distribution of the target doppler spectrum. The measured data results based on Relevance Vector Machine (RVM) and Support Vector Machine (SVM) show the proposed feature can not only achieve good classification performance, but also be robust to the target velocity.
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Received: 02 February 2010
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Corresponding Authors:
Du Lan
E-mail: dulan@mail.xidian.edu.cn
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