Layered Offset Min-Sum Decoding for Low Density Parity Check Codes

Offset Min-Sum Algorithm (OMSA) and Normalized Min-Sum Algorithm (NMSA) are widely used in commercial LDPC decoders due to low complexity and reasonable performance. In this paper we proposes an Adaptive Layered Offset min- sum algorithm for the decoding of LDPC codes, which utilizes an adaptive off...

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Bibliographic Details
Published in2018 International Symposium on Advanced Electrical and Communication Technologies (ISAECT) pp. 1 - 5
Main Authors Maammar, Nejwa El, Bri, Seddik, Foshi, Jaouad
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2018
Subjects
Approximation algorithms
AWGN
Complexity theory
Decoding
Iterative decoding
Min-sum
Normalized min-sum
Offset min-sum
Rayleigh
Simulation
Sum product algorithm
Sum-product
Online AccessGet full text
DOI10.1109/ISAECT.2018.8618780

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Summary:Offset Min-Sum Algorithm (OMSA) and Normalized Min-Sum Algorithm (NMSA) are widely used in commercial LDPC decoders due to low complexity and reasonable performance. In this paper we proposes an Adaptive Layered Offset min- sum algorithm for the decoding of LDPC codes, which utilizes an adaptive offset factor to improve the accuracy of the soft information transferred during the iterative decoding process, and it provides good performance accordingly. The performed simulations showed that the layered offset min-sum decoding for LDPC codes can provide significant improvement compared to existing MS based algorithm, OMSA and NMSA.
DOI:10.1109/ISAECT.2018.8618780