Adaptive reduced-rank LCMV beamforming algorithms based on joint iterative optimisation of filters

被引：13
|
作者：
de lamare, R. C. [1 ]
机构：
[1] Univ York, Dept Elect, York YO10 5DD, N Yorkshire, England
来源：
ELECTRONICS LETTERS | 2008年 / 44卷 / 09期
关键词：
D O I：
10.1049/el:20080627
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel approach to linearly constrained minimum variance ( LCMV) beamforming based on reduced-rank processing is proposed. The method is based on a constrained joint iterative optimisation of an adaptive projection matrix and a reduced-rank filter according to the minimum variance criterion. We derive LCMV expressions for the design of the projection matrix and the reduced-rank filter and present low-complexity adaptive algorithms for their efficient implementation. Simulations show that the proposed scheme outperforms the full-rank and existing reduced-rank methods with low complexity.
引用
收藏
页码：565 / 566
页数：2
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