The University of Southampton
University of Southampton Institutional Repository

Radial Basis Function Network Assisted Space-Time Equalisation for Dispersive Fading Environments

Radial Basis Function Network Assisted Space-Time Equalisation for Dispersive Fading Environments
Radial Basis Function Network Assisted Space-Time Equalisation for Dispersive Fading Environments
A novel radial basis function network assisted decision-feedback aided space-time equaliser designed for receivers employing multiple antennas is presented. The proposed receiver structure outperforms the linear minimum mean-squared error benchmarker and is less sensitive to both error propagation and channel estimation errors.
0013-5194
1006-1007
Wolfgang, A.
e87811dd-7028-4ac3-90cc-62003ff22202
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Wolfgang, A.
e87811dd-7028-4ac3-90cc-62003ff22202
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Wolfgang, A., Chen, S. and Hanzo, L. (2004) Radial Basis Function Network Assisted Space-Time Equalisation for Dispersive Fading Environments. Electronics Letters, 40 (16), 1006-1007.

Record type: Article

Abstract

A novel radial basis function network assisted decision-feedback aided space-time equaliser designed for receivers employing multiple antennas is presented. The proposed receiver structure outperforms the linear minimum mean-squared error benchmarker and is less sensitive to both error propagation and channel estimation errors.

Text
01322810.pdf - Other
Download (228kB)

More information

Published date: 5 August 2004
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 262839
URI: https://eprints.soton.ac.uk/id/eprint/262839
ISSN: 0013-5194
PURE UUID: 051c297d-f079-4019-8e5a-fb3b83507400
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 12 Jul 2006
Last modified: 17 Sep 2019 01:10

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×