82330 - Reduced complexity turbo equalization using a dynamic Bayesian network.pdf (2.72 MB)
Reduced complexity turbo equalization using a dynamic Bayesian network
journal contributionposted on 2023-05-17, 15:36 authored by Myburgh, H, Jan OlivierJan Olivier, Van Zyl, AJ
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.
Publication titleEURASIP Journal on Advances in Signal Processing
Department/SchoolSchool of Engineering
Place of publicationGermany
Rights statementCopyright Myburgh et al. 2012