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小波多尺度分析在目标微运动特征提取中的应用

Application on Micro-Doppler Signature of Acquisition for using Wavelet Multi-resolution Analysis
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摘要 目标结构的微小振动或转动会使回波信号产生频率调制,这种现象称为微多普勒现象。实验使用小波多尺度分析将时域信号分解为不同尺度信息下的信号成分,对含有微多普勒特征的信号成分进行重构,提取出微多普勒特征;通过时频联合分析的方法获取目标微多普勒特征参数。结果表明:实验中成功提取了目标微多普勒信号的信息,为获取和处理微多普勒信号提供了重要的工具和方法。 Mechanical vibrations or rotations of structures on a target may introduce frequency modulation on the radar returns.This is called micro-Doppler phenomenon.In this experiment,the time domain radar signal is decomposed into a set of components that are represented by different wavelet scales.The micro-Doppler features are extracted by sorting the components that are associated with the vibrational/rotational motions of a target and is achieved by reconstruction.Then the micro-motion information can be obtained by joint time-frequency analysis.Results show that three-level decomposition and reconstruction is sufficient to extract micro-Doppler features,and it provide an important tool and method for acquiring micro-Doppler signature.
机构地区 海军
出处 《舰船电子工程》 2012年第12期40-41,48,共3页 Ship Electronic Engineering
关键词 微多普勒 小波多尺度分析 时-频分析 平滑伪WigneR-Ville分布 micro-Doppler wavelet multi-resolution analysis time-frequency analysis smoothed pseudo Wigner-Ville distribution
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