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Reduced complexity turbo equalization using a dynamic Bayesian network


Myburgh, H and Olivier, JC and Van Zyl, AJ, Reduced complexity turbo equalization using a dynamic Bayesian network, EURASIP Journal on Advances in Signal Processing Article 136. ISSN 1687-6180 (2012) [Refereed Article]


Copyright Statement

Copyright Myburgh et al. 2012

DOI: doi:10.1186/1687-6180-2012-136


It is proposed that a dynamic Bayesian network (DBN) is used to perform turbo equalization in a system transmitting information over a Rayleigh fading multipath channel. The DBN turbo equalizer (DBN-TE) is modeled on a single directed acyclic graph by relaxing the Markov assumption and allowing weak connections to past and future states. Its complexity is exponential in encoder constraint length and approximately linear in the channel memory length. Results show that the performance of the DBN-TE closely matches that of a traditional turbo equalizer that uses a maximum a posteriori equalizer and decoder pair. The DBN-TE achieves full convergence and near-optimal performance after small number of iterations.

Item Details

Item Type:Refereed Article
Keywords:turbo equalizer, dynamic Bayesian network, Rayleigh fading, low complexity
Research Division:Engineering
Research Group:Communications engineering
Research Field:Signal processing
Objective Division:Information and Communication Services
Objective Group:Communication technologies, systems and services
Objective Field:Mobile technologies and communications
UTAS Author:Olivier, JC (Professor JC Olivier)
ID Code:82330
Year Published:2012
Web of Science® Times Cited:1
Deposited By:Engineering
Deposited On:2013-01-25
Last Modified:2017-11-06
Downloads:339 View Download Statistics

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