一种有效的二维MUSIC超分辨SAR成像算法  

Efficient 2D MUSIC Superresolution SAR Imaging Method

作　　者：张平[1,2] 商建[1,2] 杨汝良[1] 

机构地区：[1]中国科学院电子学研究所,北京100190 [2]中国科学院研究生院,北京100039

出　　处：《系统仿真学报》2010年第1期184-187,共4页Journal of System Simulation

摘　　要：多重信号分类(MUSIC)方法是一种高分辨率到达角(DOA)估计方法,将MUSIC方法应用于合成孔径雷达(SAR)可以很好地提高图像质量。提出了一种简单有效的2D MUSIC超分辨成像算法,该方法对已聚焦的SAR图像进行处理,减小了处理过程的复杂性,并结合幅度估计完成超分辨率图像重建。实验结果验证了这种超分辨率方法的有效性。Multiple signal classification （MUSIC） algorithm is a kind of high resolution DOA estimation methods, and can be applied in SAR processing to obtain better image quality. An efficient method was proposed to improve SAR image resolution using 2D MUSIC method with the amplitude estimation after preprocessing the focused SAR image according to the signal characteristics, which reduced the complexity of processing. Compared with the traditional method, the better results were obtained and validated the method.

关 键 词：合成孔径雷达(sAR) 超分辨率 MUSIC 谱估计 

分 类 号：TN958[电子电信—信号与信息处理]