Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Lecture notes in electrical engineering

Improving Performance of the Min Sum Algorithm for LDPC Codes

Abdelilah Kadi, Saïd Najah, Mostafa Mrabti, Samir Belfkih

Published Jan 1, 2016• 0 citations
Publisher
DOI
10.1007/978-3-319-30301-7_40

Related papers

An Improved Self-Corrected Min-Sum Decoding for LDPC Codes

Xingjin Li, Liguo Zhang, Jingxuan Tan +3 more

Low-Density Parity-Check (LDPC) code is a linear block code approaching the Shannon limit. The improvement of the decoding performance of LDPC codes is a hot research direction today. To improve the decoding performance of the self-correcting min-sum (SCMS) algorithm, an improved self-correcting min-sum (ISCMS) algorithm is proposed based on this algorithm. In the iterative decoding process of the ISCMS algorithm, the update rule of the check node (CN) is optimized to the update rule of the CN of the IOMS algorithm, which improves the accuracy of decoding from the processing of the CN. Simulation results show that the proposed ISCMS algorithm has better error performance and convergence performance than the SCMS algorithm with a small increase in computational complexity.

International Conference on Intelligent Systems and Knowledge Engineering (ISKE)•Nov 26, 2021•0 citations

Min-Sum Algorithm for LDPC Codes Based on Integer Operation

Zhengkang Chen, Zhang Huisheng, LI Li-xin +1 more

Energy Procedia•Jan 1, 2011•0 citations

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

Nejwa El Maammar, Seddik Bri, Jaouad Foshi

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.

International Symposium on Advanced Electrical and Communication Technologies (ISAECT)•Nov 1, 2018•10 citations

Improved Min-Sum Decoding of Irregular LDPC Codes

Juntan Zhang, M.P.C. Fossorier, Daqing Gu +1 more

IEICE Technical Report; IEICE Tech. Rep.•May 19, 2005•0 citations

Improved second minimum value for Probabilistic Min-Sum Algorithm in LDPC decoding

Chenxuan Wang, Cheng-Hung Dixson Lin

•Aug 6, 2019•0 citations

A Improved Min-Sum Algorithm for LDPC Codes

Zhang Rong-rong

Among the decoding algorithm for low-density parity-check(LDPC) code,belief propagation(BP) algorithm has good performance but high complexity,while min-sum algorithm has simple implementation complexity but worse performance.Considering the trade-off between performance and complexity,the relationship between the value of overestimate under min-sum algorithm and the input information is analyzed,and an improved min-sum algorithm is proposed.Simulation results show that the improved min-sum algorithm remains similar performance with the traditional BP algorithm,but has less complexity.

Microcomputer Information•Jan 1, 2010•0 citations
Low-Density Parity-Check (LDPC) code is a linear block code approaching the Shannon limit. The improvement of the decoding performance of LDPC codes is a hot research direction today. To improve the decoding performance of the self-correcting min-sum (SCMS) algorithm, an improved self-correcting min-sum (ISCMS) algorithm is proposed based on this algorithm. In the iterative decoding process of the ISCMS algorithm, the update rule of the check node (CN) is optimized to the update rule of the CN of the IOMS algorithm, which improves the accuracy of decoding from the processing of the CN. Simulation results show that the proposed ISCMS algorithm has better error performance and convergence performance than the SCMS algorithm with a small increase in computational complexity.
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.
Among the decoding algorithm for low-density parity-check(LDPC) code,belief propagation(BP) algorithm has good performance but high complexity,while min-sum algorithm has simple implementation complexity but worse performance.Considering the trade-off between performance and complexity,the relationship between the value of overestimate under min-sum algorithm and the input information is analyzed,and an improved min-sum algorithm is proposed.Simulation results show that the improved min-sum algorithm remains similar performance with the traditional BP algorithm,but has less complexity.