摘要
针对机载无源宽角合成孔径雷达（SAR）在探测过程目标散射特性随观测角度变化的问题,在建立机载无源宽角SAR信号模型的基础上将成像重建过程转换为求解多测量向量的联合稀疏优化问题,并在分布式贪婪稀疏重建方法框架下提出一种基于同时正交匹配追踪的机载无源宽角SAR稀疏成像算法,能够实现对地面探测目标的准确稳健成像。仿真数据处理结果验证了所提成像算法的有效性和准确性。
Aiming at the problem of the aspect angle dependence of target scattering characteristic for airborne passive wide-angle synthetic aperture radar（SAR）,the paper firstly introduces a forward signal model of airborne passive wide-angle SAR and then formulates the imaging problem as an joint sparsity optimization problem of multiple measurement vectors.Under the distributed greedy sparse recovery framework,the paper finally proposes the simultaneous orthogonal matching pursuit based airborne passive wide-angle SAR imaging method.The proposed imaging method can achieve the accurate and robust imaging reconstruction of the observed ground scene.The simulation results have verified the effectiveness and validity of the proposed imaging method.
作者
屈乐乐
刘宇
张丽丽
孙延鹏
QU Lele;LIU Yu;ZHANG Lili;SUN Yanpeng(College of Electronic Information Engineering,Shenyang Aerospace University,Shenyang 110136,China)
出处
《现代雷达》
CSCD
北大核心
2018年第8期27-30,共4页
Modern Radar
基金
国家自然科学基金资助项目(61671310,61302172)
航空科学基金资助项目(2016ZC54013)
辽宁省高等学校创新人才基金资助项目(LR2016062)
辽宁省教育厅科学基金资助项目(L201752)
关键词
无源雷达
机载合成孔径雷达
同时正交匹配追踪
宽角成像
passive radar
airborne synthetic aperture radar
simultaneous orthogonal matching pursuit
wide-angle imaging
