基于自适应小波时频分解的ISAR成像  

Reconstruction of ISAR Imaging with Adaptive Wavelet Time-frequency Decomposition

作　　者：彭军[1,2] 刘丹[2] 王光明[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800 [2]中国航天科工集团公司第二研究院第23研究所,北京100854

出　　处：《弹箭与制导学报》2008年第5期231-233,共3页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：传统的逆合成孔径雷达成像算法用傅立叶变换进行频谱分析,对机动目标的成像会导致成像模糊。文中应用自适应小波分解方法代替传统的傅立叶变换对机动目标进行成像,得到一个三维的时间-距离-多普勒阵,对时间进行采样即得到瞬时的二维距离-多普勒像。它不仅具有很好的分辨率,还具有瞬时信息。仿真和实验结果表明,通过该方法能得到清晰的目标的距离-瞬时多普勒像。As for the traditional ISAR imaging, the Fourier transform is used to retrieve Doppler information. Due to the complex motion of a target, the image is blurred. In this paper, by replacing the traditional Fourier processor with the adaptive wavelet processor, a 2-Drange-Dopple Fourier ISAR frame became a 3-D time-range-Doppler wavelet ISAR cube. By wavelet 1SAR sampling in time, a time sequence of 2-D range-Doppler images that provides not only superior resolution but also the temporal information can be viewed. The simulation data and real data prove that the good radar temporal image for maneuvering target can be obtained by the method.

关 键 词：逆合成孔径雷达 自适应小波分解 时频分析 瞬时像 

分 类 号：TN958[电子电信—信号与信息处理]