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中文摘要：
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。
英文摘要：
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.
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