Myburgh, Hermanus CarelOlivier, Jan CorneVan Zyl, A.J. (Gusti)2013-03-202013-03-202012-07-09Myburgh HC, Olivier, JC & Van Zyl, A 2012," Reduced complexity turbo equalization using a dynamic Bayesian network", EURASIP Journal on Advances in Signal Processing,2012, 2012:136.1687-617210.1186/1687-6180-2012-136http://hdl.handle.net/2263/21193Additional file 1: DBN-TE Pseudocode algorithm. (a) DBN-TE function pseudocode. (b) FORWARD MESSAGE function pseudocode. (c) BACKWARD MESSAGE function pseudocode. (d) FORWARD BACKWARD MESSAGE function pseudocode. (e) LLR ESTIMATES function pseudocode.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.en© 2012 Myburgh et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution LicenseTurbo equalizerDynamic Bayesian networkRayleigh fadingSignal processingBayesian statistical decision theoryEqualizers (Electronics)Radio -- Transmitters and transmission -- FadingRayleigh modelArticle