Bayesian Blind and Semi-Blind Equalization of Channels with Markov Inputs

C Andrieu, A Doucet, R Urien

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

An original full Bayesian approach is developed for blind and semi-blind equalisation of fading channels with Markov inputs. The sequence of discrete symbols is estimated according to a marginal maximum a posteriori criterion; the other unknown parameters are regarded as random nuisance parameters and are integrated out analytically. A batch algorithm is proposed to maximise the marginal posterior distribution. Simulation results are presented to demonstrate the effectiveness of the method.
Translated title of the contributionBayesian Blind and Semi-Blind Equalization of Channels with Markov Inputs
Original languageEnglish
Pages (from-to)269 - 274
Number of pages6
JournalIEE Proceedings - Vision Image & Signal Proceedings
Volume148 (4)
Publication statusPublished - Aug 2001

Bibliographical note

Publisher: IEE - Inst Elec Eng
Other identifier: IDS number 481LV

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