基于复近似信息传递的多通道SAR成像方法  

Multi-channel SAR imaging method based on CAMP

作　　者：吴辰阳 魏中浩[1,2] 张冰尘 卢晓军[3] WU Chenyang 1,2 , WEI Zhonghao 1,2 , ZHANG Bingchen 1, LU Xiaojun 3(1. Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China; 2. University of Chinese Academy of Sciences,Beijing 100190, China; 3. China International Engineering Consulting Corporation, Beijing 100048, Chin)

机构地区：[1]中国科学院电子学研究所空间信息处理与应用系统技术重点实验室,北京100190 [2]中国科学院大学,北京100190 [3]中国国际工程咨询公司,北京100048

出　　处：《系统工程与电子技术》2018年第6期1249-1254,共6页Systems Engineering and Electronics

基　　金：国家自然科学基金(61331017)资助课题

摘　　要：偏置相位中心天线(displaced phase center antenna,DPCA)技术作为一种实现高分辨率、宽测绘带宽的有效技术手段,被广泛应用于高性能合成孔径雷达(synthetic aperture radar,SAR)系统研制中。为了实现最佳的成像效果,DPCA雷达成像系统需要满足方位向均匀采样条件,否则会导致方位向等效相位中心的周期性非均匀分布,进而使用经典匹配滤波成像方法会产生严重的方位模糊。根据稀疏信号处理理论,本文提出了一种基于复近似信息传递(complex approximate message passing,CAMP)算法的多通道非均匀采样DPCA成像方法,可以有效地解决多通道SAR因非均匀采样所产生的方位模糊以及杂波干扰问题,实现对观测区域的高精度重建。仿真和实际数据实验验证了该方法的有效性。Displaced phase center antenna（DPCA）is an effective method to achieve high-resolution and wide swath,which has been widely applied in high-performance synthetic aperture radar（SAR）systems.In order to achieve optimum performance,DPCA radar system needs to meet the azimuth uniform sampling conditions,or it may cause azimuth non-uniform sampling of the SAR system,and the usage of conventional SAR imaging method will lead to serious azimuth ambiguity.According to the sparse signal processing theory,this paper presents a multi-channel DPCA imaging method with non-uniform sampling based on complex approximate message passing（CAMP）algorithm.The presented method can effectively solve the problem of azimuth ambiguity and clutter interference caused by non-uniform sampling of the multi-channel SAR system,and achieve the high-precision reconstruction of the observation scene.Experiments based on simulated and real data verify the effectiveness of the proposed method.

关 键 词：合成孔径雷达 偏置相位中心天线 复近似信息传递 稀疏信号处理 

分 类 号：TN95[电子电信—信号与信息处理]