A Sparse Imaging-based Single Channel Slow-Moving Target Detection Method

Xin Wang, Teng Li, Zhengwei Hou
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Abstract

A weak moving target detection and parameter estimation method is proposed in this paper. A joint static scene and mismatched moving target radar projection operator is formulated and applied to separate the clutter data and MT signal. The weak moving target can be detected after clutter suppression and then moving parameter estimation could be employed based on the retrieved phase of moving target signal. Numerical simulation can verify the validity and robustness of the proposed methodology.
基于稀疏成像的单通道慢动目标检测方法
提出了一种弱运动目标检测与参数估计方法。提出了一种静态场景与失配运动目标联合投影算子,并应用于杂波数据与MT信号的分离。通过杂波抑制,检测出弱运动目标,然后根据运动目标信号的相位进行运动参数估计。数值仿真验证了所提方法的有效性和鲁棒性。
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