通信侦察中盲源分离算法的分离性能研究  

Separation Performance of Blind Source Separation Algorithms in Communication Reconnaissance

作　　者：赵雨璞 吕虹 刘有军 吕超峰 ZHAO Yupu;LYU Hong;LIU Youjun;LYU Chaofeng(School of Electronic and Information Engineering,Anhui Jianzhu University,Hefei 230000,China;College of Electronic Countermeasures,National University of Defense Technology,Hefei 230000,China;Nanjing Institute of Electronic Equipment,Nanjing 210000,China)

机构地区：[1]安徽建筑大学电子与信息工程学院,合肥230000 [2]国防科技大学电子对抗学院,合肥230000 [3]南京电子设备研究所,南京210000

出　　处：《电光与控制》2022年第6期93-96,共4页Electronics Optics & Control

基　　金：国家自然科学基金(61372094,61071001)。

摘　　要：在通信侦察中,多通道盲源分离算法是分离信号的常用算法,但有时会出现分离效果不理想的情况。通过理论分析和仿真验证,研究了固定点算法(FastICA)、信息最大化算法(Informax)、等变自适应分解算法(EASI)等常用多通道盲源分离算法在通信信号侦察中的分离性能,分析了信噪比、信号间强度比、信号相对到达方向等对多通道盲源分离的影响,为盲源分离的应用研究和算法的选择提供依据。In communication reconnaissance,multi-channel Blind Source Separation(BSS) algorithm is commonly used to separate signals,but sometimes the separation effect is not ideal.Through theoretical analysis and simulation verification,the separation performance of common multi-channel BSS algorithms such as FastICA,Informax and EASI in communication signal reconnaissance is studied.The influence of Signal to Noise Ratio(SNR),Signal Intensity Ratio(SIR) and relative Direction of Arrival(DOA) on multi-channel BSS is analyzed,which provides a reference for BSS application research and algorithm selection.

关 键 词：多通道盲源分离 FASTICA算法 Informax算法 EASI算法 

分 类 号：TN911.72[电子电信—通信与信息系统]