基于MP稀疏分解的弹道中段目标微动ISAR成像新方法

摘要

弹道目标在中段的运动包括轨道运动和微动.与轨道运动相比,弹道目标的微动能引起目标相对雷达视线角更为快速的变化,有利于逆合成孔径雷达(inverse synthetic aperture radar,ISAR)成像.针对自旋对称弹头的微动特性,提出了一种基于匹配追踪(matching pursuit,MP)稀疏分解的微动ISAR成像算法,分析了成像平面和成像所需积累转角,并通过计算机仿真与传统的距离-多普勒( range-Doppler,RD)、魏格纳-维尔(WignerVille,WV)成像算法进行了比较.仿真结果表明:本文算法具有更好的成像精度和稳定性,且不受交叉项的干扰,是一种有效的微动目标成像算法.%The motion of ballistic midcourse targets include orbit motion and micro-motion, compared with orbit motion, the micro-motion of ballistic targets causes the target more rapid change relative to the angle of radar sight, which is benefit to the inverse synthetic aperture radar (ISAR) imaging. According to the micro-motion characteristic of spin symmetric warhead, a new micro-motion imaging algorithm based on the matching pursuit (MP) sparse decomposition is proposed, the imaging plane and accumulation angle are analyzed. Compared with the traditional range-Doppler, Wigner-Ville imaging algorithm, the result of simulation indicates that the new algorithm has a better imaging precision and with no cross interference, which is a kind of effective algorithm for the micro-motion target imaging.