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

页码：2636 / 2639

页数：4

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