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首页> 外文会议>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：微动机签名分析和提取

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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：微多普勒特征可以被视为具有运动的对象的唯一签名，其提供用于分类，识别和识别对象的附加信息。微动的常见分析方法是时频变换。然而，时间频分布的三维签名是存储和区分目标的方便。本文提出了一个通式来匹配时频的签名，这将使签名从三维变为二维。仿真研究表明该方法对于诸如振动，摆动，旋转，旋转等典型微型运动是有效的。

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