一种基于稀疏重构的多视角MIMO雷达关联成像算法研究  

A multi-view MIMO radar coincidence imaging algorithm research based on sparse reconstruction

作　　者：张弓[1] 田雨薇 袁家雯 张宇 ZHANG Gong;TIAN Yuwei;YUAN Jiawen;ZHANG Yu(College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;School of Information and Communication Engineering,Nanjing Institute of Technology,Nanjing 211167,China;School of Electronics&Information Engineering,Nanjing University of Information Science&Technology,Nanjing 210044,China)

机构地区：[1]南京航空航天大学电子信息工程学院,江苏南京210016 [2]南京工程学院信息与通信学院,江苏南京211167 [3]南京信息工程大学电子与信息工程学院,江苏南京210044

出　　处：《系统工程与电子技术》2024年第2期470-477,共8页Systems Engineering and Electronics

基　　金：国家自然科学基金(62271255,61871218);雷达成像与微波光子技术教育部重点实验室开放课题基金(NJ20210001);南京航空航天大学跨学科创新基金(KXKCJJ202203);江苏省研究生科研与实践创新计划(KYCX20_0201)资助课题。

摘　　要：为改善复杂目标的成像表现、提升雷达图像的视觉效果,提出一种基于稀疏重构的多视角多输入多输出(multiple input multiple output,MIMO)雷达关联成像方法,设计了多视角雷达散射面积(radar cross section,RCS)起伏的稀疏重构关联成像模型。所提算法能提高辐射场信号随机性,改善复杂目标雷达关联成像参考信号与回波之间相关性退化的情况,减小多视角RCS起伏对相关性的影响,提升多视角下的关联成像质量。最后,通过仿真验证了所提方法的有效性。To improve the imaging performance of complex targets and enhance the visual effect of radar images,a multiple input multiple output(MIMO)radar coincidence imaging method based on sparse reconstruction is proposed.A sparse reconstruction coincidence imaging model with fluctuating radar cross section(RCS)from multi-view is designed.This algorithm can improve the randomness of radiation field signals,improve the degradation of correlation between complex target radar coincidence imaging reference signals and echoes,reduce the impact of multi-view RCS fluctuations on correlation,and improve the quality of coincidence imaging under multi-view conditions.Finally,the effectiveness of the proposed method is verified through the simulation.

关 键 词：雷达成像 多输入多输出 雷达关联成像 正则化 全变差 

分 类 号：TN95[电子电信—信号与信息处理]