Authors: Ilić, Velimir 
Dupraz, Elsa
Declercq, David
Vasić, Bane
Title: Uniformly reweighted APP decoder for memory efficient decoding of LDPC Codes
Journal: 2014 52nd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2014
First page: 1228
Last page: 1232
Conference: 52nd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2014; Monticello; United States; 30 September 2014 through 3 October 2014
Issue Date: 30-Jan-2014
ISBN: 978-1-479-98009-3
DOI: 10.1109/ALLERTON.2014.7028595
Abstract: 
In this paper we propose a uniformly reweighted a posteriori probability (APP) decoder. The APP decoder is well-known to be suboptimal compared to the BP decoder. Here, we derive the APP decoder as an algorithm of approximate Bayesian inference on the LDPC code graph and introduce a correction parameter to overcome the suboptimaly of the APP decoder. We optimize numerically the correction parameter and show that it improves the BER performance of the APP decoder compared to its non-corrected version. In addition, the original APP decoder requires memory that is linear in the number of edges in the code graph. Here, we propose a memory efficient implementation of the algorithm that requires memory that is linear only in the codeword length.
Publisher: IEEE

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