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 contribution 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.
9310a111-f79a-48b8-98c7-383ca93cbb80
Liu, S.
3554b4ea-f13f-4ea0-af48-e7559d076cb5
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
2007
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Liu, S.
3554b4ea-f13f-4ea0-af48-e7559d076cb5
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), Baltimore, MD, United States.
30 Sep - 03 Oct 2007.
.
Record type:
Conference or Workshop Item
(Poster)
Abstract
This contribution 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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vtc07f-02-11-07.pdf
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Published date: 2007
Additional Information:
Event Dates: 30 September-3 October 2007
Venue - Dates:
IEEE VTC'07 (Fall), Baltimore, MD, United States, 2007-09-30 - 2007-10-03
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 264655
URI: http://eprints.soton.ac.uk/id/eprint/264655
PURE UUID: 17dad0e5-3921-4409-b7eb-f9d3d121b97e
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Date deposited: 08 Oct 2007
Last modified: 18 Mar 2024 02:34
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Contributors
Author:
S. Chen
Author:
S. Liu
Author:
L. Hanzo
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