Adaptive Widely Linear Constrained Constant Modulus Reduced-Rank Beamforming

被引：11
|
作者：
Wu, Xiaomin [1 ]
Cai, Yunlong [1 ]
Zhao, Minjian [1 ]
De Lamare, Rodrigo C. [2 ,3 ]
Champagne, Benoit [4 ]
机构：
[1] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
[2] Pontifical Catholic Univ Rio de Janeiro, Ctr Telecommun Studies, BR-22453900 Rio De Janeiro, Brazil
[3] Univ York, Dept Elect, Commun Res Grp, York YO10 5DD, N Yorkshire, England
[4] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ H3A 0E9+, Canada
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2017年 / 53卷 / 01期
基金：
中国国家自然科学基金;
关键词：
STOCHASTIC GRADIENT ALGORITHMS; INTERFERENCE SUPPRESSION; WIENER FILTER; PERFORMANCE; MECHANISMS; ARRAY;
D O I：
10.1109/TAES.2017.2650838
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
We propose a blind adaptive reduced-rank widely linear beamforming algorithm using the generalized sidelobe canceller structure for interference suppression. Astructured Krylov-subspace-based approach is devised to construct the dimensionality reducing transformation matrix, and a recursive least-squares algorithm is developed according to the widely linear constrained constant modulus criterion to update the reduced-rank filter. We analyze the convergence and complexity of the proposed algorithm and validate its performance gains through simulations.
引用
收藏
页码：477 / 492
页数：16
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