The University of Southampton
University of Southampton Institutional Repository

Semi-blind adaptive spatial equalisation for MIMO systems with high-order QAM signalling

Chen, Sheng, Yao, Wang and Hanzo, Lajos (2008) Semi-blind adaptive spatial equalisation for MIMO systems with high-order QAM signalling IEEE Transactions on Wireless Communications, 7, (11), pp. 4486-4491.

Record type: Article


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.

PDF getPDFtwc08.pdf - Version of Record
Download (512kB)

More information

Published date: November 2008
Organisations: Southampton Wireless Group


Local EPrints ID: 266962
PURE UUID: 043bc5e3-1072-481d-a75b-90185fa26597

Catalogue record

Date deposited: 03 Dec 2008 10:28
Last modified: 18 Jul 2017 07:09

Export record


Author: Sheng Chen
Author: Wang Yao
Author: Lajos Hanzo

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.