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For robust classification of moving wheeled and tracked vehicles using returned micro-Doppler signals within short dwell time, the influence of receiver white noise and low spectrum resolution are encountered. In this paper, noise reduction and super-resolution are realized simultaneously via a redundant dictionary based l1 -norm optimization method. Experiments based on the measured data are presented,...
Micro-Doppler information contained in the returned echo reflects the special structure of moving vehicles and can be utilized to discriminate wheeled vehicle and tracked vehicle. In this paper, generalized matched filter is employed to suppress clutter and a preprocessing is used to eliminate the influence of bulk velocity for Doppler spectrum firstly. Then features which depict the distinction between...
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