Application of Serial Min-max Decoding Algorithm Based on Variable Weighting for Nonbinary LDPC Codes in Optical Communication

In this paper, we perform an analysis on the min-max decoding algorithm for nonbinary LDPC (low-density parity-check) codes and propose serial min-max decoding algorithm. After that, combining with the weighted processing of the variable node message, we propose serial min-max decoding algorithm bas...

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Bibliographic Details
Main Authors: Zhongxun Wang, Xinglong Gao
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2013-09-01
Series:Sensors & Transducers
Subjects:
Online Access:http://www.sensorsportal.com/HTML/DIGEST/september_2013/P_1358.pdf
Description
Summary:In this paper, we perform an analysis on the min-max decoding algorithm for nonbinary LDPC (low-density parity-check) codes and propose serial min-max decoding algorithm. After that, combining with the weighted processing of the variable node message, we propose serial min-max decoding algorithm based on variable weighting for nonbinary LDPC codes. In the end, we perform a detailed analysis on the features of optical communication and show the simulation model in optical communication system. The simulation indicates that when the bit error rate is 10-3 and used in optical communication, compared with serial min-max decoding algorithm, traditional min-max decoding algorithm and traditional min-sum algorithm, serial min-max decoding algorithm based on variable weighting can offer additional coding gain 0.2 dB, 0.3 dB and 0.4 dB respectively in (AWGN) additional white Gaussian noise channel and under (OOK) on-off keying modulation.
ISSN:2306-8515
1726-5479