Adaptive Forgetting Factor Subarray RLS Beamforming for Multipath Environments

被引：0
|
作者：
Chang, Ann-Chen [1 ]
Hsu, Chun [2 ]
Su, Ing-Jiunn [2 ]
机构：
[1] Ling Tung Univ, Dept Informat Technol, Taichung 408, Taiwan
[2] Natl Def Univ, Chung Cheng Inst Technol, Dept Elect & Elect Engn, Tao Yuan 335, Taiwan
来源：
IEICE TRANSACTIONS ON COMMUNICATIONS | 2008年 / E91B卷 / 10期
关键词：
adaptive beamforming; recursive least squares; generalized sidelobe canceller; adaptive forgetting factor;
D O I：
10.1093/ietcom/e91-b.10.3342
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：
This letter presents an efficient adaptive beamformer to deal with the multipath environments created by signal source scatterings. To improve the performance possible with the fixed forgetting factor. the regular adaptive forgetting factor algorithm is derived and applied to the subarray recursive least squares (RLS) beamforming. Simulations confirm that the proposed scheme has better performance than not only the conventional RLS algorithm but also the subarray RLS and adaptive Forgetting factor RLS algorithms.
引用
收藏
页码：3342 / 3346
页数：5
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