基于AM-LFM分解的微动信号提取
doi: 10.3724/SP.J.1146.2009.00444
Micro-Doppler Signal Extraction Based on AM-LFM Decomposition
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摘要:
该文针对微多普勒信号与目标主体回波信号分离的问题，分析了包含微动结构的雷达回波模型，指出目标主体信号分量多普勒频率是固定的，而微多普勒信号的多普勒频率是时变的，且可用分段的线性调频信号拟合。在此基础上，提出了一种基于调幅-线性调频(AM-LFM)分解的微动信号分离算法，该算法根据调频率来判定各调幅-线性调频分量的对应结构，实现微多普勒信号提取。仿真及实测数据处理结果验证了算法的有效性。
Abstract:The issue of micro-Doppler signal separation from collected data of targets with micro-motion structures is addressed. The signal mode for target with micro-motion structures is analyzed and the results show that the Doppler frequency of main body is constant and the micro-Doppler frequency is time varying, which can be fitted by a series of piecewise linear frequency modulation signal. A method, which decomposes radar signal to AM-LFM (amplitude modulation-linear frequency modulation) components and determines each components corresponding structure by frequency modulation rate, is proposed to extract micro-motion echoes from the main body echoes. Simulated and experimental results verify the correctness of proposed method.
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