多视角观测的ISAR融合成像技术综述  

Review of ISAR Fusion Imaging Technology Based on Multi-view Observation

作　　者：焦丽婷 胡文华 刘利民 郭宝锋 朱晓秀 Jiao Liting;Hu Wenhua;Liu Limin;Guo Baofeng;Zhu Xiaoxiu(Department of Electronic and Optical Engineering,Shijiazhuang Campus,Army Engineering University,Shijiazhuang 050003,China;No.32398 Unit of PLA,Beijing 100192,China)

机构地区：[1]陆军工程大学石家庄校区电子与光学工程系,石家庄050003 [2]中国人民解放军32398部队,北京100192

出　　处：《兵工自动化》2024年第8期32-39,共8页Ordnance Industry Automation

基　　金：河北省自然科学基金面上项目(F2019506031)、(F2020506036);陆军工程大学基础前沿科技创新项目(KYSZJQZL2020)。

摘　　要：针对基于稀疏表示的多雷达信号互相干处理和相关领域的研究现状,利用多部逆合成孔径雷达(inverse synthetic aperture radar,ISAR)对目标进行探测以提高成像效率的方法。阐明多雷达成像存在的线性误差和夹角估计误差,提出基于信号稀疏表示的多雷达信号互相干处理方法;利用幅度和相位补偿参数的稀疏特性,通过信号稀疏重构方法来估计补偿参数,并对下一步研究方向进行展望。结果表明,该方法能够提高稀疏条件下ISAR多雷达的实用能力。According to the research status of multi-radar signal processing based on sparse representation and related fields,the method of using multi-ISAR to detect the target to improve the imaging efficiency is proposed.The linear error and angle estimation error in multi-radar imaging are clarified,and a multi-radar signal interference processing method based on signal sparse representation is proposed.By using the sparse characteristics of amplitude and phase compensation parameters,the compensation parameters are estimated by signal sparse reconstruction method,and the future research directions are prospected.The results show that it can improve the practical ability of ISAR multi-radar under sparse conditions.

关 键 词：逆合成孔径雷达 融合成像 多雷达 互相干处理 

分 类 号：TN95[电子电信—信号与信息处理]