Micro-Doppler Feature Extraction Method of Rotating Target Based on Shipborne Radar

F. Gu, Yun Zhang, Min-hui Fu, Zhi-min Chen
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Abstract

A novel delayed conjugated multiplication and sparse decomposition method is proposed to extract the micromotion feature of rotating target with shipborne radar. Combined with the motion mode of shipborne platform, the echo signal of rotating target is analyzed. The influence of ship-swaying is eliminated by delayed conjugated multiplication processing. A set of micro-Doppler (m-D) basis-signals are constructed. Thus after sparse decomposition processing, the m-D features of every scatter are successively extracted according to the coefficients. Finally, the effectiveness of the approach is validated by simulations.
舰载雷达旋转目标微多普勒特征提取方法
针对舰载雷达旋转目标的微运动特征提取问题,提出了一种新的延迟共轭乘法稀疏分解方法。结合舰载平台的运动方式,对旋转目标回波信号进行了分析。通过延迟共轭乘法处理消除了船舶摇摆的影响。构造了一组微多普勒(m-D)基信号。因此,经过稀疏分解处理后,根据系数依次提取每个散点的m-D特征。最后,通过仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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