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中文摘要：
旋转和振动是目标微动中最常见的两种运动形式。目标微动会产生微多普勒现象,而微多普勒特征被认为是微动目标所具有的独一无二的特征,可以用来确定目标的性质,实现对目标的自动识别与分类。在线性调频信号体制下,运动补偿后利用含旋转部件目标在谱图域中的特殊表现形式,针对旋转半径的不同,分别使用不同的方法,有效地分离并提取目标的微多普勒特征,从而实现了微动目标的特征识别与分类,仿真验证了方法的有效性。
英文摘要：
Rotation and vibration are the most familiar moving forms in micro-motion dynamics. Micro-Motion targets will generate Micro-Doppler phenomenon,the Micro-Doppler feature can be recognized as the unique feature of Micro-Motion targets,which can be used for identifying the characteristics of target,and implementing auto target recognition and classification.Under the chirp signal system,after motion compensation,targets with rotating parts will show the special form in spectrogram.In terms of the different radius,the different methods are utilized,which can achieve the separation and extraction of Micro-Doppler,the feature identification and classification of special targets will be implemented.At last,the effectiveness of the methods is testified by the simulation results.
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