基于盲源分离的同频信号测向算法研究  

Research of the Same-frequency Signal Direction-finding Processing Based on Blind Source Separation Algorithm

作　　者：马飞[1,2] MA Fei(Equipment Engineering Technology Research Laboratory, Shijiazhuang Hebei 050081, China The 54th Research Institute of CETC, Shijiazhuang Hebei 050081, China)

机构地区：[1]装备工程技术研究实验室,河北石家庄050081 [2]中国电子科技集团公司第五十四研究所,河北石家庄050081

出　　处：《无线电通信技术》2017年第2期51-54,共4页Radio Communications Technology

基　　金：国家部委基金资助项目

摘　　要：信号测向系统中,常用MUSIC算法进行同频信号测向处理。但是由于实际使用过程中信号子空间和噪声子空间并不能实现完全正交,使得MUSIC算法的准确度和稳定性大幅度削弱。基于这个问题,将盲源分离算法引入到同频信号测向系统中,利用盲源分离算法,对信号进行处理,分离出每个信源的空间信息,单独进行测向处理。能够在信号子空间和噪声子空间正交性不理想的情况下,保证测向系统的抗干扰性能,提高系统的准确度和稳定性。In signal direction-finding system,the MUSIC algorithm is usually used in the direction-finding processing of the samefrequency signal.However,in the actual use of the process,signal subspace and noise subspace are not completely orthogonal,which makes the accuracy and stability of MUSIC algorithm sharply attenuate.Aiming at this problem,the blind source separation algorithm is introduced into the same frequency signal direction-finding system,The blind source separation algorithm is used to deal with the signal,separate the spatial information of each source and complete the direction-finding processing of each source,which could ensure the anti-interference performance of direction-finding system,and increase the accuracy and stability of system,in the situation that signal subspace and noise subspace are not completely orthogonal.

关 键 词：盲源分离 MUSIC算法 同频测向 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]