基于微动分析和Chirplet分解的ISAR成像  

ISAR Based on Micro-Motion Analysis and Chirplet Separation

作　　者：李斌[1,2] 姚康泽[3] 王岩[3] 慈林林[3] 万建伟[1] 

机构地区：[1]国防科技大学电子科学与工程学院,长沙410073 [2]二炮青州士官学校 [3]北京信息高技术研究所,北京100085

出　　处：《信号处理》2009年第2期264-269,共6页Journal of Signal Processing

基　　金：武器装备项目预研基金项目(9140A07020806JB3302)

摘　　要：当目标或目标部件存在微动时,目标的ISAR像将受到微动产生的微多谱勒效应的污染。为了解决这个问题,本文首先对目标的平动、转动和振动的运动模型进行分析,讨论了微多谱勒在时频域的分布情况;对目标回波信号进行Chirplet分解后,研究了在Chirplet参数域中利用微多谱勒和微多谱勒率对不同微动信号的分离算法;使用仿真点目标模型和实测数据对分离算法进行了验证,较好的实现了微多谱勒效应的分离和ISAR成像。When target or its parts exist micro-motion,ISAR is severely contaminated by the micro-Doppler effect caused by the micro-motion. To solve the problem, the micro-motion models of translation and rotation and vibration are analyzed, and then the time-fre- quency distribution of this micro-motion are discussed. After echoes are decomposed with Chirplet transformation, an algorithm, which separates signals using micro Doppler and micro Doppler rate in Chirplet parameter domain, is investigated. The algorithm is verified by simulation data of point-scatterer and real data of an airliner,the micro-Doppler are separated well and nice ISAR images are obtained.

关 键 词：微运动 微多谱勒 CHIRPLET 时频分布 ISAR 

分 类 号：TN957.52[电子电信—信号与信息处理]