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Reduced complexity turbo equalization using a dynamic Bayesian network
Citation
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]
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Copyright Statement
Copyright Myburgh et al. 2012
DOI: doi:10.1186/1687-6180-2012-136
Abstract
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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