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Symmetric Radial Basis Function Network Equaliser

Symmetric Radial Basis Function Network Equaliser
Symmetric Radial Basis Function Network Equaliser
The paper investigates nonlinear equalisation using a novel symmetric radial basis function (RBF) network. By explicitly exploiting the inherently symmetric structure of the optimal Bayesian equaliser, the proposed symmetric RBF equaliser can be determined from the received noisy training data. Both a block-data based and a sample-by-sample adaptive algorithm are designed for this novel symmetric RBF equaliser. Simulation results are also provided to demonstrate the efficiency of the proposed symmetric RBF network equaliser.
5 pages
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Wolfgang, A.
e87811dd-7028-4ac3-90cc-62003ff22202
Benedetto, S.
0bf4e6f7-082a-4ffc-9d4e-279e406962d6
Dubamet, P.
7ebaa577-a57b-468c-880f-905e4c2b5afe
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Wolfgang, A.
e87811dd-7028-4ac3-90cc-62003ff22202
Benedetto, S.
0bf4e6f7-082a-4ffc-9d4e-279e406962d6
Dubamet, P.
7ebaa577-a57b-468c-880f-905e4c2b5afe
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Chen, S., Wolfgang, A., Benedetto, S., Dubamet, P. and Hanzo, L. (2006) Symmetric Radial Basis Function Network Equaliser. NEWCOM-ACoRN Joint Workshop, Austria. 20 - 22 Sep 2006. 5 pages .

Record type: Conference or Workshop Item (Other)

Abstract

The paper investigates nonlinear equalisation using a novel symmetric radial basis function (RBF) network. By explicitly exploiting the inherently symmetric structure of the optimal Bayesian equaliser, the proposed symmetric RBF equaliser can be determined from the received noisy training data. Both a block-data based and a sample-by-sample adaptive algorithm are designed for this novel symmetric RBF equaliser. Simulation results are also provided to demonstrate the efficiency of the proposed symmetric RBF network equaliser.

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More information

Published date: 2006
Additional Information: Event Dates: 20-22 September 2006
Venue - Dates: NEWCOM-ACoRN Joint Workshop, Austria, 2006-09-20 - 2006-09-22
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 263013
URI: https://eprints.soton.ac.uk/id/eprint/263013
PURE UUID: 1c769630-3adf-4c05-a180-47debb14f6f5
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 25 Sep 2006
Last modified: 06 Jun 2018 13:14

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