稀疏域海杂波抑制与微动目标检测方法

摘要

针对海上微动目标回波信号具有稀疏性的特点，该文研究了稀疏域微动特征提取和检测方法，提出一种基于形态成分分析（MCA）的海杂波抑制与微动目标检测方法。该方法充分利用海杂波和微多普勒信号组成成分的形态差异性，对不同源信号采用不同的字典进行稀疏表示，区分海杂波与微动目标。此外，提出的稀疏域海杂波抑制方法，能够在抑制海杂波的同时积累更多的信号能量，改善信杂比。仿真和实测数据验证了算法的正确性。%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 detec-tion is proposed based on the morphological component analysis (MCA).The algorithm takes full advantage of the morpho-logical 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 a-chieve 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.