微动正弦调频信号的EM参数估计新算法

姜永艳; 张仕元

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

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微动正弦调频信号的EM参数估计新算法

学术通信 | 更新时间：2024-06-05

- 微动正弦调频信号的EM参数估计新算法
- New EM parameter estimation algorithm for a type of micro-motion SFM signal
- 通信学报 2017年38卷第9期页码：201-206
- 作者机构：
  
  1. 中原工学院理学院，河南郑州 450007
  2. 南京电子技术研究所，江苏南京 210039
- 作者简介：
  
  [ "姜永艳（1978-），女，吉林梅河口人，中原工学院讲师，主要研究方向为微分方程顽健性研究及其在信号与信息处理中的应用。" ]
  [ "张仕元（1975-），男，湖北黄陂人，博士，南京电子技术研究所研究员，主要研究方向为雷达波形设计和雷达信号处理。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-436x.2017192
  中图分类号： TN951
- 网络出版日期：2017-09，
  
  纸质出版日期：2017-09-25
- 稿件说明：
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姜永艳, 张仕元. 微动正弦调频信号的EM参数估计新算法[J]. 通信学报, 2017,38(9):201-206.

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.
姜永艳, 张仕元. 微动正弦调频信号的EM参数估计新算法[J]. 通信学报, 2017,38(9):201-206. DOI： 10.11959/j.issn.1000-436x.2017192.

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

摘要

针对现有方法计算量大、信噪比要求高的问题，提出了一种期望极大化（EM）算法的目标微动参数估计新方法。给出了自旋目标微动多普勒的多分量正弦调频信号模型和时频平面的观测模型，导出了基于高斯混合模型和EM算法估计的多分量线性调频信号参数的迭代计算式。仿真结果表明，在2个及以上分量情况下，弱分量信噪比不低于-3 dB时，可在窄带情况下精确地估计出目标的投影尺寸等参数。

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.

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