基于AR—CAPON联合谱估计的超分辨ISAR成像算法  

Super-resolution ISAR Imaging Method Based on the Combined Spectral Estimation of AR-CAPON

作　　者：凌牧[1] 袁伟明[1] 邢文革[1] 

机构地区：[1]南京电子技术研究所,南京210039

出　　处：《现代雷达》2009年第12期32-34,共3页Modern Radar

摘　　要：CAPON算法的谱分辨率与所构造的滤波器长度成反比,但由于涉及样本自相关矩阵估计及其求逆运算,滤波器长度往往必须小于数据长度的一半,极大地限制了谱分辨率的提高。文中通过对实测ISAR回波数据建立AR模型,并利用Burg算法求解AR模型进行数据外推,提高CAPON滤波器的长度上限,再利用CAPON算法进行超分辨ISAR成像。实测数据的仿真表明,与传统的FFT和CAPON算法相比,基于AR和CAPON的联合超分辨算法可以获得更高分辨率的ISAR像。The spectral resolution of CAPON algorithm is inversely proportional to the length of the filter. Due to the concern of estimation of autocorrelation matrix and calculation of matrix inversion, the length of filter is often less than that of data, which greatly limits the improvement of spectral resolution. In this paper, an AR-model of the ISAR echo data is established and Burg algorithm is used during its solution for data extension to increase the upper limit of the length of filter. Then CAPON algorithm is employed for ISAR imaging. Experiment results show that compared with conventional FFT and CAPON method, higher resolution of ISAR imaging can be achieved through super-resolution method based on AR - CAPON.

关 键 词：AR模型 CAPON算法 分辨率 ISAR成像 

分 类 号：TN957.52[电子电信—信号与信息处理]