电光与控制, 2018, 25 (2): 16, 网络出版: 2021-01-22   

基于盲源分离算法的混叠电磁信号分离研究

Mixed Electromagnetic Signal Separation Based on Blind-Source-Separation Algorithm
作者单位
电子信息系统复杂电磁环境效应国家重点实验室, 河南 洛阳 471003
摘要
针对装备电磁环境效应研究中存在的干扰源信号混叠的问题, 探讨了盲源分离算法在混叠干扰源信号分离中的应用。通常应用盲源算法需以估计得到源信号数目为前提, 本文提出直接根据观测信号个数设置初始化分离矩阵维数, 然后分离得到与观测信号数目相同的分离信号, 再通过分离信号的相关性检测, 即实现了源信号的分离, 避免了事先估计源信号个数的工作。通过仿真实验验证了方法的可行性。
Abstract
To solve the problem of signal mixing of interference sources in the research of electromagnetic environmental effects of the equipment, the application of the blind-source-separation algorithm in the signal separation of mixed interference sources is discussed. Usually, the number of source signals should be estimated before using the blind-source-separation algorithm. In this paper, the dimensions of the initialized unmixed matrix are set based on the number of observed signals, and then the signals whose number is the same as that of observed signals can be obtained by separation. Through the correlation detection of the separated signals, the source signals are separated at last. Thus the prior estimation of the number of the source signals can be avoided. The feasibility of the proposed method is proved by the simulation experiment.

王川川, 贾锐, 曾勇虎, 汪连栋. 基于盲源分离算法的混叠电磁信号分离研究[J]. 电光与控制, 2018, 25(2): 16. WANG Chuanchuan, JIA Rui, ZENG Yonghu, WANG Liandong. Mixed Electromagnetic Signal Separation Based on Blind-Source-Separation Algorithm[J]. Electronics Optics & Control, 2018, 25(2): 16.

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