SUBSPACE-BASED ADAPTIVE WIDELY LINEAR BLIND CHANNEL ESTIMATION FOR CONSTRAINED MINIMUM VARIANCE CDMA RECEIVER

被引：0

作者：

Song, Nuan ^{[1
]}

Radhakrishnan, Vrmal ^{[2
]}

de Lamare, Rodrigo C. ^{[3
,4
]}

Haardt, Martin ^{[2
]}

机构：

[1] Shanghai Radio Equipment Res Inst, Shanghai, Peoples R China

[2] Ilmenau Univ Technol, Commun Res Lab, Ilmenau, Germany

[3] Pontificia Univ Catolica Rio de Janeiro, CETUC, Rio de Janeiro, Brazil

[4] Univ York, Dept Elect, Commun Res Grp, York YO10 5DD, N Yorkshire, England

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS | 2016年

关键词：

widely linear; non-circular; subspace; blind channel estimation; power method; constrained minimum variance; INTERFERENCE SUPPRESSION; MULTIUSER DETECTION; PERFORMANCE ANALYSIS; ALGORITHMS; IDENTIFICATION; EQUALIZATION; SYSTEMS;

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 subspace-based Widely Linear (WL) blind channel estimation scheme based on the iterative power method for the WL constrained minimum variance Code Division Multiple Access (CDMA) receiver. The novel technique approximates the noise subspace by using a matrix power and the WL processing fully exploits the second-order non-circularity of the signal. Two adaptive recursive least squares algorithms are developed using power iterations, which completely avoid the computationally intensive singular value decomposition. Simulation results show an improved performance of the proposed algorithms in terms of convergence and complexity as compared to their linear counterparts.

引用

页码：3686 / 3690

页数：5

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