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Symmetric Radial Basis Function Assisted Space-Time Equalisation for Multiple Receive-Antenna Aided Systems

Symmetric Radial Basis Function Assisted Space-Time Equalisation for Multiple Receive-Antenna Aided Systems
Symmetric Radial Basis Function Assisted Space-Time Equalisation for Multiple Receive-Antenna Aided Systems
This constribution considers nonlinear space-time equalisation (STE) designed for single-input multiple-output (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 achieving the optimal Bayesian equalisation performance. The adaptive adjustment of the STE taps of this symmetric RBF (SRBF) based STE can be achieved by estimating the SIMO channel encountered using the classic least mean square channel estimator and computing the optimal RBF centres from the resultant SIMO channel matrix estimate. Our simulation results demonstrate that the performance of this SRBF based STE is robust with respect to the choice of the algorithmic parameters.
740-743
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Liu, S.
d9354aa4-d43e-4a09-a478-8e9850add6bb
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Liu, S.
d9354aa4-d43e-4a09-a478-8e9850add6bb
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Chen, S., Liu, S. and Hanzo, L. (2007) Symmetric Radial Basis Function Assisted Space-Time Equalisation for Multiple Receive-Antenna Aided Systems. IEEE VTC'07 (Fall), United States. 30 Sep - 03 Oct 2007. pp. 740-743 .

Record type: Conference or Workshop Item (Poster)

Abstract

This constribution considers nonlinear space-time equalisation (STE) designed for single-input multiple-output (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 achieving the optimal Bayesian equalisation performance. The adaptive adjustment of the STE taps of this symmetric RBF (SRBF) based STE can be achieved by estimating the SIMO channel encountered using the classic least mean square channel estimator and computing the optimal RBF centres from the resultant SIMO channel matrix estimate. Our simulation results demonstrate that the performance of this SRBF based STE is robust with respect to the choice of the algorithmic parameters.

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More information

Published date: 2007
Additional Information: Event Dates: 30 September-3 October 2007
Venue - Dates: IEEE VTC'07 (Fall), United States, 2007-09-30 - 2007-10-03
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 264655
URI: https://eprints.soton.ac.uk/id/eprint/264655
PURE UUID: 17dad0e5-3921-4409-b7eb-f9d3d121b97e
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 08 Oct 2007
Last modified: 06 Jun 2018 13:14

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Contributors

Author: S. Chen
Author: S. Liu
Author: L. Hanzo ORCID iD

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