电子学报2017，Vol.45Issue(2)：291-299,9.DOI:10.3969/j.issn.0372-2112.2017.02.005
稀疏孔径下的运动补偿及快速超分辨成像方法
Research on Motion Compensation and Fast Super Resolution Imaging Method Under Sparse Aperture Condition
摘要
Abstract
In inverse synthetic aperture radar,the difficulty of motion compensation,the low imaging efficiency and resolution of sparse apertures for non-cooperate targets is a challenge problem.To solve the problem,a novel motion compensation and fast imaging method is proposed in this paper.First,the motion compensation is converted into a multi-parameters estimation problem.In order to accomplish the motion compensation,golden selection search (GSS) is adopted to estimate the multi-parameters.Second,the ISAR echoes' feature changes as range cell changing.To realize azimuth imaging efficiently,a matrix form of Nesterov linearized Bregman iteration (MNLBI) algorithm is proposed and the basic iteration scheme is presented as well.The method to speed up convergence of MNLBI is also given.Finally,the robustness to noise and computation is analyzed.The simulation and real data results show the effectiveness of the proposed method.关键词
稀疏孔径/逆合成孔径雷达成像/超分辨/抗噪性/线性Bregman迭代Key words
sparse aperture/inverse synthetic aperture radar imaging/super resolution/noise robustness/linearized Bregman iteration分类
信息技术与安全科学引用本文复制引用
李少东,陈文峰,杨军,马晓岩,吕明久..稀疏孔径下的运动补偿及快速超分辨成像方法[J].电子学报,2017,45(2):291-299,9.基金项目
国家自然科学基金(No.61179014) （No.61179014）
