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基于分段MDCFT的LFM信号参数估计方法

Parameter detection of LFM signal based on Multi-Segment MDCFT
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摘要 在修正离散线性调频傅里叶变换(MDCFT)估计线性调频信号(LFM)参数时,当变换序列的起止点没有与实际有效信号对齐时,其中心频率会出现偏移,导致错误估计。针对该问题,本文提出一种分段的MDCFT算法,该方法通过对未知起止时刻的序列进行等长的分段MDCFT,并结合各段之间的幅度频率关系,实现中心频率的准确估计。通过仿真证明了算法的有效性。 When estimating parameters of Linear Frequency Modulation signal based on MDCFT, the center-frequency migrates when samples doesn’t start and end as the real signal does, defined as Uncomplete LFM samples.To solve this issue,a Multi-Segment MDCFT was proposed,based on which recovering the accurate center-frequency is possible.The simulation results prove that this method is effective.
作者 袁德生 韩松
出处 《电子测试》 2014年第S2期41-43,共3页 Electronic Test
关键词 MDCFT LFM信号 参数估计 Modified Discrete Chirp-Fourier Transform Linear Frequency Modulation signal Parameter estimation
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参考文献4

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