1. Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai, Shandong 264001, China;
2. Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China;
3. Training Brigade of the Received and Reformed Equipment, Naval Aeronautical and Astronautical University, Yantai, Shandong 264001, China
Using the sparse property of the signal from a marine micromotion target,the extraction and detection of micromotion signatures in sparse domain are studied.An algorithm for sea clutter suppression and micromotion target detection is proposed based on the morphological component analysis (MCA).The algorithm takes full advantage of the morphological differences between sea clutter and micro-Doppler signal,and can separate them via sparse representation of different source signals using different dictionaries.Moreover,the proposed sea clutter suppression method in sparse domain can achieve both target's energy accumulation and sea clutter suppression with improved signal-to-clutter ratio (SCR).Simulated and real data all verify the effectiveness of the proposed method.
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2016, Vol. 44 
