系统工程与电子技术 ›› 2018, Vol. 40 ›› Issue (6): 1249-1254.doi: 10.3969/j.issn.1001-506X.2018.06.09

• 传感器与信号处理 • 上一篇    下一篇

基于复近似信息传递的多通道SAR成像方法

吴辰阳1,2, 魏中浩1,2, 张冰尘1, 卢晓军3   

  1. 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
  • 出版日期:2018-05-25 发布日期:2018-06-07

Multi-channel SAR imaging method based on CAMP

WU Chenyang1,2, WEI Zhonghao1,2, ZHANG Bingchen1, LU Xiaojun3#br#   

  1. 1. Key Laboratory of Technology in Geospatial 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, China
  • Online:2018-05-25 Published:2018-06-07

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。

Abstract: 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.