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Adaptive Bayesian Space-Time Equalisation for Multiple Receive-Antenna Assisted Single-Input Multiple-Output Systems

Adaptive Bayesian Space-Time Equalisation for Multiple Receive-Antenna Assisted Single-Input Multiple-Output Systems
Adaptive Bayesian Space-Time Equalisation for Multiple Receive-Antenna Assisted Single-Input Multiple-Output Systems
This contribution considers nonlinear space–time equalisation (STE) for multiple receive-antenna induced single-input multipleoutput (SIMO) systems. By exploiting the inherent symmetry of the underlying optimal Bayesian STE solution, a novel symmetric radial basis function (RBF) based STE scheme is proposed, which is capable of approaching the optimal Bayesian equalisation performance. Adaptive implementation of this symmetric RBF (SRBF) based STE can be achieved conveniently by estimating the SIMO channels using the least mean square channel estimator and computing the optimal RBF centres from the resulting SIMO channel matrix estimate. Simulation results also demonstrate that the performance of this SRBF based STE is robust with respect to the choice of the RBF variance value. The proposed adaptive solution is then extended to the space–time decision feedback equalisation (ST-DFE) structure.
622-634
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Liu, Sheng
2b23136d-1192-4203-a65e-d3a6e02bba8b
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Liu, Sheng
2b23136d-1192-4203-a65e-d3a6e02bba8b
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Chen, Sheng, Liu, Sheng and Hanzo, Lajos (2008) Adaptive Bayesian Space-Time Equalisation for Multiple Receive-Antenna Assisted Single-Input Multiple-Output Systems Digital Signal Processing, 18, (4), pp. 622-634.

Record type: Article

Abstract

This contribution considers nonlinear space–time equalisation (STE) for multiple receive-antenna induced single-input multipleoutput (SIMO) systems. By exploiting the inherent symmetry of the underlying optimal Bayesian STE solution, a novel symmetric radial basis function (RBF) based STE scheme is proposed, which is capable of approaching the optimal Bayesian equalisation performance. Adaptive implementation of this symmetric RBF (SRBF) based STE can be achieved conveniently by estimating the SIMO channels using the least mean square channel estimator and computing the optimal RBF centres from the resulting SIMO channel matrix estimate. Simulation results also demonstrate that the performance of this SRBF based STE is robust with respect to the choice of the RBF variance value. The proposed adaptive solution is then extended to the space–time decision feedback equalisation (ST-DFE) structure.

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Published date: July 2008
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 265869
URI: https://eprints.soton.ac.uk/id/eprint/265869
PURE UUID: dec93c09-0302-4d2b-b53b-718e197a8e41
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 09 Jun 2008 17:35
Last modified: 18 Jul 2017 07:22

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Contributors

Author: Sheng Chen
Author: Sheng Liu
Author: Lajos Hanzo ORCID iD

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