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

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.

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Citation

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.

More information

Published date: November 2008
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 266962
URI: http://eprints.soton.ac.uk/id/eprint/266962
PURE UUID: 043bc5e3-1072-481d-a75b-90185fa26597

Catalogue record

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

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Contributors

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

University divisions


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