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Micro-Doppler extraction of frequency-stepped chirp signal based on the Hough Transform

机译:基于霍夫变换的频率步进线性调频信号微多普勒提取

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摘要

The micro-Doppler (m-D) effect induced by the rotating parts in a radar target or mechanical vibrations of the target body provides a new approach for auto target recognition. In this paper, the m-D effect in frequency-stepped chirp signal is analyzed. Compared with that in the traditional chirp signal, the m-D effect in frequency-stepped chirp signal appears some new characteristics. To extract these m-D characteristics and so to obtain the micro-motion information of the target for auto recognition, the Extended Hough Transform is applied into detecting the parameters of the curves on the range-slow time plane after the analytical expressions of the curves deduced. Computer simulations have proved the validity of the proposed method.
机译:雷达目标中的旋转部件或目标主体的机械振动引起的微多普勒(m-D)效应为自动目标识别提供了一种新方法。本文分析了频率步进线性调频信号的m-D效应。与传统的线性调频信号相比,频率步进线性调频信号的m-D效应呈现出一些新的特征。为了提取这些m-D特征并获得用于自动识别的目标的微动信息,在推导了曲线的解析表达式之后,将扩展Hough变换应用于在范围慢的时间平面上检测曲线的参数。计算机仿真证明了该方法的有效性。

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