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首页> 外文会议>2013 International Workshop on Microwave and Millimeter Wave Circuits and System Technology >Micro-Motions signatures analysis and extraction
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Micro-Motions signatures analysis and extraction

机译：微动签名分析与提取

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摘要

Micro-Doppler features can be regarded as a unique signature of an object with movements which provide additional information for classification, recognition and identification of the object. The common analysis method of Micro-Motion is time-frequency transform. However, the three-dimensional signatures of time-frequency distribution are not convenient to store and distinguish targets. The paper puts forward a general formula to match the signatures of time-frequency which will make the signatures reduce from three-dimensional to two-dimensional. Simulation study show the method is efficient for typical Micro-Motions such as vibration, wobbling, rotation, coning.
机译：可以将微多普勒特征视为具有运动的对象的唯一签名，该运动提供了用于对象的分类，识别和标识的其他信息。 Micro-Motion的常见分析方法是时频变换。但是，时频分布的三维特征不便于存储和区分目标。提出了匹配时频特征的通用公式，使特征从三维降为二维。仿真研究表明，该方法适用于典型的微动，例如振动，摆动，旋转，圆锥运动。

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