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

C Andrieu; A Doucet; R Urien

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

C Andrieu, A Doucet, R Urien

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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 contribution	Bayesian Blind and Semi-Blind Equalization of Channels with Markov Inputs
Original language	English
Pages (from-to)	269 - 274
Number of pages	6
Journal	IEE Proceedings - Vision Image & Signal Proceedings
Volume	148 (4)
Publication status	Published - Aug 2001

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

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title = "Bayesian Blind and Semi-Blind Equalization of Channels with Markov Inputs",

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.",

author = "C Andrieu and A Doucet and R Urien",

note = "Publisher: IEE - Inst Elec Eng Other identifier: IDS number 481LV",

year = "2001",

month = aug,

language = "English",

volume = "148 (4)",

pages = "269 -- 274",

journal = "IEE Proceedings - Vision Image & Signal Proceedings",

publisher = "Institution of Engineering and Technology (IET)",

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TY - JOUR

T1 - Bayesian Blind and Semi-Blind Equalization of Channels with Markov Inputs

AU - Andrieu, C

AU - Doucet, A

AU - Urien, R

N1 - Publisher: IEE - Inst Elec Eng Other identifier: IDS number 481LV

PY - 2001/8

Y1 - 2001/8

N2 - 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.

AB - 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.

M3 - Article (Academic Journal)

VL - 148 (4)

SP - 269

EP - 274

JO - IEE Proceedings - Vision Image & Signal Proceedings

JF - IEE Proceedings - Vision Image & Signal Proceedings

ER -

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

Abstract

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