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An Importance Sampling Simulation Method for Bayesian Decision Feedback Equalizers

Chen, S. and Hanzo, L. (2000) An Importance Sampling Simulation Method for Bayesian Decision Feedback Equalizers At 5th IMA International Conference on Mathematics in Signal Processing, 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.

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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, 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

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Date deposited: 12 Jan 2004
Last modified: 18 Jul 2017 10:04

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Contributors

Author: S. Chen
Author: L. Hanzo

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