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Applying Bayesian networks and belief propagation to error correction coding
journal contribution
posted on 2023-05-18, 06:37 authored by Olding, WC, Jan OlivierJan Olivier, Brian SalmonBrian SalmonTelecommunication standards utilise numerous different subsystems to improve the quality of voice and data communications. One of these subsystems is tasked with error detection and control within the transmitted streams. This is accomplished using numerous different error correction codes for various scenarios. This article investigates the use of a Bayesian network as a universal channel decoder for the two main branches of algebraic codes. This graph-based approach is visually intuitive and is found to produce similar results to the best performing decoders in use today. A graphical representation of a multi-path channel equaliser is incorporated into the Bayesian network, obtaining near optimal performance.
History
Publication title
ANZIAM JournalVolume
55Pagination
C96-C109ISSN
1446-1811Department/School
School of EngineeringPublisher
Australian Mathematics Publ Assoc IncPlace of publication
Mathematics Dept Australian National Univ, Canberra, Australia, Act, 0200Rights statement
Copyright 2014 Austral. Mathematical Soc.Repository Status
- Restricted