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一种基于特征子空间的多用户盲分离算法
引用本文:唐玲,宋弘,陈明举.一种基于特征子空间的多用户盲分离算法[J].成都信息工程学院学报,2010,25(4):351-354.
作者姓名:唐玲  宋弘  陈明举
作者单位:四川理工学院自动化与电子信息学院,四川,自贡,643000
摘    要:提出了一种基于特征子空间的多用户盲分离算法。算法首先估计出信号源的导向矢量,然后再利用ESB算法进行波束形成,解决了当存在多个用户时权值收敛于单一用户的问题,可以在不知道信号先验知识的情况下对来自不同方向上的独立信号进行有效的分离。算法不需要进行繁琐的Gram—Schmidt正交化处理,并且在盲分离信号的基础上还可以估计出信号的波达方向。计算机仿真结果表明,分离出来的信号与源信号的相关系数均大于0.99,证实了算法的有效性。

关 键 词:智能天线  阵列信号处理  盲分离  特征子空间  波达方向  相关系数

Multi-User Blind Separation Algorithm Based on the Eigenspace
TANG Ling,SONG Hong,CHEN Ming-ju.Multi-User Blind Separation Algorithm Based on the Eigenspace[J].Journal of Chengdu University of Information Technology,2010,25(4):351-354.
Authors:TANG Ling  SONG Hong  CHEN Ming-ju
Institution:(Automation and Electronic information college, Sichuan University of Science & Engineering, Zigong 643000, China)
Abstract:A multi-user blind separation algorithm based on the eigenspace is proposed in this paper. First we estimate direction vector of the signal source, and then use the ESB algorithm to beamform. The algorithm can separate the independent signals from different directions effectively without knowing the transcendent knowledge of the signals, which solves the problem that the weight values tend to converge the single user when many users exist. The proposed algorithm don't need to use Gram-Schmidt orthogonalization procedure, and can estimate the user's DOA on the basis of separation. Computer simulation results show that the correlation coefficient of the signal separated and the source signals are greater than 0.99, which confirms the effectiveness of the algorithm.
Keywords:smart antenna  array signal prccessing  blind separation  eigenspace  direction-of- arrival i correlation coeffident
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