BLIND BEAMFORMER FOR CONSTANT MODULUS SIGNALS BASED ON RELEVANCE VECTOR MACHINE

被引：0
|
作者：
Hwang, Kyuho [1 ]
Choi, Sooyong [1 ]
机构：
[1] Yonsei Univ, Sch Elect & Elect Engn, Seoul 120749, South Korea
来源：
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2011年
关键词：
Blind beamforming; Constant modulus algorithm; Relevance vector machine; COMMUNICATION-SYSTEMS; EQUALIZATION; ALGORITHM; ARRAY;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
The blind beamforming method for constant modulus (CM) signals based on relevance vector machine (RVM) is proposed. The proposed beamforming method is obtained by incorporating the constant modulus algorithm (CMA)-like error function into the conventional RVM framework. The RVM framework formulates the parameters of beamfomer by exploiting a probabilistic Bayesian learning procedure with assumption of Gaussian prior for parameters. The simulation results show that the proposed blind beamforming method can restore the desired signals with crowded interference signals.
引用
收藏
页码：2112 / 2115
页数：4
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