Semi-Blind Adaptive Spatial Equalization for MIMO Systems with High-Order QAM Signalling

被引：21

作者：

Chen, S. ^{[1
]}

Yao, W. ^{[1
]}

Hanzo, L. ^{[1
]}

机构：

[1] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England

来源：

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS | 2008年 / 7卷 / 11期

基金：

英国工程与自然科学研究理事会;

关键词：

Multiple-input multiple-output; quadrature amplitude modulation; spatial equalisation; semi-blind adaptive algorithm; concurrent constant modulus algorithm and soft decision-directed scheme;

D O I：

10.1109/T-WC.2008.070852

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 contribution investigates semi-blind adaptive spatial filtering or equalisation for multiple-input multiple-output (MIMO) systems that employ high-throughput quadrature amplitude modulation (QAM) signalling. A minimum number of training symbols, equal to the number of receivers (we assume that the number of transmitters is no more than that of receivers), are first utilized to provide a rough least squares channel estimate of the system's MIMO channel matrix for the initialization of the spatial equalizers' weight vectors. A constant modulus algorithm aided soft decision-directed blind algorithm, originally derived for blind equalization of single-input single-output and single-input multiple-output systems employing high-order QAM signalling, is then extended to adapt the spatial equalizers for MIMO systems. This semi-blind scheme has a low computational complexity, and our simulation results demonstrate that it converges fast to the minimum mean-square-error spatial equalization solution.

引用

页码：4486 / 4491

页数：6

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