An improved normalized min-sum algorithm for LDPC codes

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2013Publisher:IEEEJournal:2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)

Authors: Jinlei Chen; Yan Zhang; Ruiyi Sun;

doi: 10.1109/icis.2013.6607890

An improved normalized min-sum algorithm for LDPC codes

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Abstract

An improved normalized min-sum (IN-MS) algorithm is proposed for decoding low-density parity-check (LDPC) codes. In this algorithm, two normalized factors are used in check node computing, one for the minimum data and another for the second minimum data, and this algorithm achieves a better approximation to the BP algorithm. Simulation results show that the decoding performance of IN-MS algorithm is better than that of the normalized min-sum (NMS) algorithm.

Related Organizations

Harbin Institute of Technology
China (People's Republic of)

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