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.
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
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)
关键词
微动
微多普勒
GABOR变换
特征识别
micro - motion
micro - Doppler
Gabor transformation
signature recognition
