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雷达回波中,微弱运动目标会被强杂波掩盖,造成目标探测困难。文中提出基于匹配追踪稀疏表示方法的雷达微弱运动目标探测算法,采用训练的过完备字典线性组合对杂波进行建模并解决稀疏表示问题,提高了杂波建模的准确性,利用杂波模型抑制杂波,可以从杂波背景中有效地探测微弱目标。仿真结果表明:文中提出的算法优于传统的目标探测方法,可以提高杂波抑制和微弱运动目标探测性能。
Radar echo, the weak moving target will be covered by strong clutter, causing the target detection difficulties. In this paper, a radar moving target detection algorithm based on matching pursuit sparse representation is proposed. Using a trained perfect dictionary linear combination to model the clutter and solve the sparse representation problem, the accuracy of the clutter modeling is improved. The clutter model Suppression of clutter, from clutter background can effectively detect weak targets. The simulation results show that the proposed algorithm is superior to the traditional target detection method, which can improve the clutter suppression and weak moving target detection performance.