The University of Southampton
University of Southampton Institutional Repository

An importance sampling simulation method for Bayesian decision feedback equalizers

An importance sampling simulation method for Bayesian decision feedback equalizers
An importance sampling simulation method for Bayesian decision feedback equalizers
An importance sampling (IS) simulation technique is presented for evaluating the lower-bound bit error rate (BER) of the Bayesian decision feedback equalizer (DFE) under the assumption of correct decisions being fed back. A design procedure is developed, which chooses appropriate bias vectors for the simulation density to ensure asymptotic efficiency of the IS simulation.
4 pages
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Chen, S. and Hanzo, L. (2000) An importance sampling simulation method for Bayesian decision feedback equalizers. 5th IMA International Conference on Mathematics in Signal Processing, University of Warwick, United Kingdom. 18 - 20 Dec 2000. 4 pages .

Record type: Conference or Workshop Item (Paper)

Abstract

An importance sampling (IS) simulation technique is presented for evaluating the lower-bound bit error rate (BER) of the Bayesian decision feedback equalizer (DFE) under the assumption of correct decisions being fed back. A design procedure is developed, which chooses appropriate bias vectors for the simulation density to ensure asymptotic efficiency of the IS simulation.

Other
icassp.ps - Other
Download (104kB)

More information

Published date: December 2000
Additional Information: Event Dates: 18-20 December 2000 Organisation: Institute of Mathematics and Its Applications
Venue - Dates: 5th IMA International Conference on Mathematics in Signal Processing, University of Warwick, United Kingdom, 2000-12-18 - 2000-12-20
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 252480
URI: http://eprints.soton.ac.uk/id/eprint/252480
PURE UUID: c8b42f6d-efd4-4a33-9ec7-3690d5523be1
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 12 Jan 2004
Last modified: 18 Mar 2024 02:33

Export record

Contributors

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

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 http://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.

×