基于Gabor变换的微动目标微多普勒分析与仿真  

Analysis and Simulation for Micro-Doppler Information of Micro-Motion Target Based on Gabor Transformation

作　　者：李开明[1] 李长栋[2] 李松[3] 李宏静[4] 张群[1] 

机构地区：[1]空军工程大学电讯工程学院,陕西西安710077 [2]空军航空大学航空理论系,吉林长春130022 [3]空军工程大学导弹学院,陕西三原713800 [4]西南大学地理科学学院,重庆400715

出　　处：《空军工程大学学报（自然科学版）》2010年第1期40-43,94,共5页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(60971100);陕西省自然科学基础研究计划资助项目(2007F28)

摘　　要：由于目标微动特征信号具有非线性和非平稳的特点,为有效提取雷达目标的微动特征,为雷达目标的分类与识别提供依据,在单频信号体制下,以旋转散射点目标为例,基于时频分析的方法提取了旋转目标的微多普勒信息,通过仿真验证,得到了微动目标的微多普勒特征,比较了几种常见时频分析工具的变换结果及性能差异。仿真结果表明,Gabor变换方法在微动目标微多普勒提取方面是可行而稳健的,Gabor变换的巨大潜力将为微动目标特征识别提供新的途径。The micro - Doppler signature is referred to as the unique signature of micro - motion target, which is significant for classification, recognition and imaging of special target. Because of the non - linear and non - stable characteristics of the special signal generated by micro - motion, in order to extract the micro - motion signature and provide a basis for target classification and identification, this thesis takes the object with rotating parts for example, under the single frequency system, to extract the micro - Doppler information based on the time - frequency analysis method. Then the micro - Doppler signature of micro - motion is obtained by simulation and verification, the transformation results and the differences of performance by using common time -frequency analysis tools are compared. The simulation testified that Gabor Transformation is feasible and stable in the aspect of extraction of micro - Doppler information, the remarkable potential of Gabor Transformation will provide a new approach of signa- ture recognition for micro -motion target.

关 键 词：微动 微多普勒 GABOR变换 特征识别 

分 类 号：TN958[电子电信—信号与信息处理]