期刊文献+

基于时频分析和相关搜索法的正弦调频信号的分离

Separation of SFM Signals Based on Time-frequency and Correlation Searching Methods
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摘要 针对微动研究中微多普勒特征多表现为正弦调频信号的特点,首先在时频域采用时频分析的方法预估计信号的类别和相关参数范围,进而在时域通过相关法搜索相关参数对多分量正弦调频信号进行分离,最后通过仿真验证了该方法的有效性。 According to study of the micro-motion in which the micro-Doppler feature is mostly shown sinusoidal frequency modulation(SFM) signals,firstly time-frequency analysis method is used to estimate signal category and the range of related parameters in time-frequency plane,furthermore correlation searching method is used to search related parameters for separating SFM signals,finally,simulation demonstrates the validity of the method.
作者 陈广锋
出处 《科学技术与工程》 北大核心 2012年第14期3483-3485,共3页 Science Technology and Engineering
基金 西安市科技计划项目(CXY1134WL08) 陕西省自然科学基金项目(2011JM1011)资助
关键词 正弦调频信号 时频分析 相关 分离 搜索 sinusoidal frequency modulation signals(SFM) time-frequency analysis correlation separation searching
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参考文献5

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二级参考文献16

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