NON-DATA-AIDED ADAPTIVE BEAMFORMING ALGORITHM BASED ON THE WIDELY LINEAR AUXILIARY VECTOR FILTER

被引：0
|
作者：
Song, Nuan [1 ]
Steinwandt, Jens [1 ,2 ]
Wang, Lei [2 ]
de Lamare, Rodrigo C. [2 ]
Haardt, Martin [1 ]
机构：
[1] Ilmenau Univ Technol, Commun Res Lab, POB 100565, D-98684 Ilmenau, Germany
[2] Univ York, Dept Elect, Commun Res Grp, York YO10 5DD, N Yorkshire, England
来源：
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2011年
关键词：
Widely linear; non-circular; adaptive beamforming; non-data-aided; linearly constrained minimum variance; SUPPRESSION;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
We propose a non-data-aided adaptive beamforming algorithm based on Widely Linear (WL) processing techniques and the Auxiliary Vector Filtering (AVF) algorithm for non-circular signals, where only the steering vector of the desired user is known. The proposed Widely Linear Auxiliary Vector Filtering (WL-AVF) algorithm recursively updates the filter weights by a sequence of auxiliary vectors that are designed according to the Widely Linearly Constrained Minimum Variance (WLCMV) criterion. It takes full advantage of the second-order statistics of the non-circular data, achieving a higher maximum signal-to-interference-plus-noise ratio (SINR) than the linear AVF. Key properties of the proposed WL-AVF are analyzed. Simulation results show that the WL-AVF beamforming algorithm performs the best among the existing adaptive algorithms.
引用
收藏
页码：2636 / 2639
页数：4
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