低信噪比下快速分裂Bregman迭代ISAR超分辨率成像  

Fast split Bregman iterative based super resolution imaging for ISAR systems under low SNR

作　　者：朱燕丽 周鹏[1] 张振华 张晰 张杰[1] 王影 ZHU Yanli;ZHOU Peng;ZHANG Zhenhua;ZHANG Xi;ZHANG Jie;WANG Ying(College of Oceanography and Space Informatics,China University of Petroleum,Qingdao 266580,China;Beijing Research Institute of Telemetry,Beijing 100076,China;First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China)

机构地区：[1]中国石油大学(华东)海洋与空间信息学院,青岛266580 [2]北京遥测技术研究所,北京100076 [3]自然资源部第一海洋研究所,青岛266061

出　　处：《遥测遥控》2022年第2期68-80,共13页Journal of Telemetry,Tracking and Command

基　　金：国家重点研发计划(2017YFC1405600);国家自然科学基金重点项目(61931025);山东省自然科学基金项目(ZR2019MF004);国家自然科学基金项目(61971455)。

摘　　要：针对低信噪比条件下的逆合成孔径雷达ISAR(Inverse Synthetic Aperture Radar)超分辨率成像处理问题,提出了一种基于快速分裂Bregman迭代的ISAR超分辨率成像算法。首先,在正则化框架下,将方位分辨率的提高问题转化为一个正则化问题;其次,利用托普利兹矩阵的低位移秩特征和Gohberg-Semencul表示来加速收敛。所提出的算法既利用了分裂Bregman迭代在低信噪比条件下的重构能力,又能保证快速成像。利用仿真和实测数据开展了多项实验,与线性Bregman迭代LBI(Linearized Bregman Iteration)、正交匹配追踪OMP(Orthogonal Matching Pursuit)等现有常用算法的结果进行了比较,结果表明本文算法取得了更佳的成像性能且运行时间相对较短。Aiming at the problem of ISAR(inverse synthetic aperture radar)super-resolution imaging processing under the condition of low signal-to-noise ratio,an ISAR super-resolution imaging algorithm based on fast split Bregman iteration is proposed.Firstly,in the framework of regularization,the problem of improving azimuth resolution is transformed into a regularization problem.Secondly,the low shift rank feature of Toeplitz matrix and Gohberg–Semencul representation are used to accelerate the convergence.The proposed algorithm not only makes use of the reconstruction ability of split Bregman iteration under the condition of low signal-to-noise ratio,but also ensures fast imaging.A number of experiments are carried out using simulation and real data.The results are compared with the results of existing common algorithms such as LBI(linear Bregman iteration)and OMP(orthogonal matching pursuit).The results show that the proposed algorithm in this paper achieves better imaging performance and relatively short running time.

关 键 词：低信噪比 快速分裂Bregman迭代 逆合成孔径雷达 超分辨成像 托普利兹矩阵 

分 类 号：TN959.1[电子电信—信号与信息处理]