An iterative blind cyclostationary beamforming algorithm

被引:4
作者
Du, KL [1 ]
Swamy, MNS [1 ]
机构
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
来源
2002 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, CONFERENCE PROCEEDINGS | 2002年
关键词
D O I
10.1109/ICC.2002.996834
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The cross-correlation neural network proposed in [2] is an efficient iterative method for singular value decomposition. In this paper, we propose an iterative blind cyclostationary beamforming algorithm, which is inspired by the cross-correlation neural model. It can be used to extract signals with cyclostationarity. The new algorithm is a gradient decent-based method. It is fast, simple, and easy to implement. Simulation shows that it can provide good performance as long as the learning rate is suitably selected.
引用
收藏
页码:145 / 148
页数:4
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