微动正弦调频信号的EM参数估计新算法

doi:10.11959/j.issn.1000-436x.2017192

Abstract

Abstract:

Aiming at the problem that the existing method has high computational complexity and high SNR,a novel method of multi-component SFM signals parameter estimation based on EM algorithm was proposed as to spinning tar-get's narrow band micro-motion echoes.The echo model of spinning target and its micro-doppler measurements based on time-frequency analysis were given.The iterative parameter estimation steps based on Gaussian mixture model and EM algorithm to measurements were established.The simulation results demonstrate that when SNR is greater than -3 dB and the SFM components are equal or greater than 2，the method can estimate the target’s micro-motion parameters e.g.projection size accurately in narrow band condition.

Key words: spinning, micro-motion, multi-component SFM, time-frequency analysis, EM algorithm

CLC Number:

TN951

Yong-yan JIANG,Shi-yuan ZHANG. New EM parameter estimation algorithm for a type of micro-motion SFM signal[J]. Journal on Communications, 2017, 38(9): 201-206.

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References 15

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