Capon-Apes联合估计算法及其在SAR成像中的应用  

Capon-Apes joint estimation with application to SAR imaging

作　　者：徐光耀[1] 张旗[1] Xu Guangyao;Zhang Qi(91336 Unit of the PLA, Qinhuangdao 066326,China)

机构地区：[1]中国人民解放军91336部队

出　　处：《国外电子测量技术》2018年第4期34-38,共5页Foreign Electronic Measurement Technology

摘　　要：相对于传统方法而言,现代谱估计技术具有较低的旁瓣和较高的分辨率,在合成孔径雷达（SAR）成像中具有较为广泛的应用。为了有效解决二维Capon和Apes谱估计算法在SAR超分辨成像应用中,难以同时兼顾分辨率和幅度估计精度要求的问题,在对Capon和Apes算法原理分析的基础上,提出了分别采用Capon和Apes进行谱线位置估计和幅度估计的Capon-Apes联合算法,并将其应用到实际的二维SAR成像中。仿真及实测数据结果表明,二维Capes算法处理得到的SAR图像具有较高的分辨率和准确的幅度估计。Compared with the traditional method,the modern spectrum estimation technology has lower sidelobe and higher resolution,and is widely used in synthetic aperture radar（SAR）imaging.In order to effectively solve the problem of two-dimensional spectral estimators,Capon and Apes,neither of these two approaches can achieve high resolution and accurate amplitude at the same time in synthetic aperture radar（SAR）super-resolution imaging.In this paper,we propose the 2-D Capes based on the 1-D Capes.The effectiveness of the proposed method is validated by using it in SAR measured data imaging.The images obtained by 2-D Capes are presented to show the usefulness and accuracy of our method.

关 键 词：现代谱估计 超分辨成像 Capes Capon-Apes 

分 类 号：TN959.3[电子电信—信号与信息处理]