Cargando…

An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments

Modern navigation satellite communication has the characteristic of high transmitting rate. To avoid bit errors in data transmission, low density parity check (LDPC) codes are widely recognized as efficient ways for navigation communication. Conventionally, the LDPC decoding is applied for additive...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Haoqiang, Zhao, Hongbo, Chen, Xiaowen, Feng, Wenquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101722/
https://www.ncbi.nlm.nih.gov/pubmed/33956886
http://dx.doi.org/10.1371/journal.pone.0250930
_version_ 1783689001725591552
author Liu, Haoqiang
Zhao, Hongbo
Chen, Xiaowen
Feng, Wenquan
author_facet Liu, Haoqiang
Zhao, Hongbo
Chen, Xiaowen
Feng, Wenquan
author_sort Liu, Haoqiang
collection PubMed
description Modern navigation satellite communication has the characteristic of high transmitting rate. To avoid bit errors in data transmission, low density parity check (LDPC) codes are widely recognized as efficient ways for navigation communication. Conventionally, the LDPC decoding is applied for additive white Gaussian noise (AWGN) channel and degrades severely while facing the impulsive noise. However, navigation communication often suffers from impulsive interference due to the occurrence of high amplitude “spikes”. At this time, the conventional Gaussian noise assumption is inadequate. The impulsive component of interference has been found to be significant which influences the reliability of transmitted information. Therefore the LDPC decoding algorithms for AWGN channel are not suitable for impulsive noise environments. Consider that LDPC codes over GF(q) perform better than binary LDPC in resisting burst errors for current navigation system, it is necessary to conduct research on LDPC codes over GF(q). In this paper, an optimized initialization by calculating posterior probabilities of received symbols is proposed for non-binary LDPC decoding on additive white Class A noise (AWAN) channel. To verify the performance of the proposed initialization, extensive experiments are performed in terms of convergence, validity, and robustness. Preliminary results demonstrate that the decoding algorithm with the optimized initialization for non-binary LDPC codes performs better than the competing methods and that of binary LDPC codes on AWAN channel.
format Online
Article
Text
id pubmed-8101722
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-81017222021-05-17 An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments Liu, Haoqiang Zhao, Hongbo Chen, Xiaowen Feng, Wenquan PLoS One Research Article Modern navigation satellite communication has the characteristic of high transmitting rate. To avoid bit errors in data transmission, low density parity check (LDPC) codes are widely recognized as efficient ways for navigation communication. Conventionally, the LDPC decoding is applied for additive white Gaussian noise (AWGN) channel and degrades severely while facing the impulsive noise. However, navigation communication often suffers from impulsive interference due to the occurrence of high amplitude “spikes”. At this time, the conventional Gaussian noise assumption is inadequate. The impulsive component of interference has been found to be significant which influences the reliability of transmitted information. Therefore the LDPC decoding algorithms for AWGN channel are not suitable for impulsive noise environments. Consider that LDPC codes over GF(q) perform better than binary LDPC in resisting burst errors for current navigation system, it is necessary to conduct research on LDPC codes over GF(q). In this paper, an optimized initialization by calculating posterior probabilities of received symbols is proposed for non-binary LDPC decoding on additive white Class A noise (AWAN) channel. To verify the performance of the proposed initialization, extensive experiments are performed in terms of convergence, validity, and robustness. Preliminary results demonstrate that the decoding algorithm with the optimized initialization for non-binary LDPC codes performs better than the competing methods and that of binary LDPC codes on AWAN channel. Public Library of Science 2021-05-06 /pmc/articles/PMC8101722/ /pubmed/33956886 http://dx.doi.org/10.1371/journal.pone.0250930 Text en © 2021 Liu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liu, Haoqiang
Zhao, Hongbo
Chen, Xiaowen
Feng, Wenquan
An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments
title An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments
title_full An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments
title_fullStr An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments
title_full_unstemmed An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments
title_short An optimized initialization for LDPC decoding over GF(q) in impulsive noise environments
title_sort optimized initialization for ldpc decoding over gf(q) in impulsive noise environments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101722/
https://www.ncbi.nlm.nih.gov/pubmed/33956886
http://dx.doi.org/10.1371/journal.pone.0250930
work_keys_str_mv AT liuhaoqiang anoptimizedinitializationforldpcdecodingovergfqinimpulsivenoiseenvironments
AT zhaohongbo anoptimizedinitializationforldpcdecodingovergfqinimpulsivenoiseenvironments
AT chenxiaowen anoptimizedinitializationforldpcdecodingovergfqinimpulsivenoiseenvironments
AT fengwenquan anoptimizedinitializationforldpcdecodingovergfqinimpulsivenoiseenvironments
AT liuhaoqiang optimizedinitializationforldpcdecodingovergfqinimpulsivenoiseenvironments
AT zhaohongbo optimizedinitializationforldpcdecodingovergfqinimpulsivenoiseenvironments
AT chenxiaowen optimizedinitializationforldpcdecodingovergfqinimpulsivenoiseenvironments
AT fengwenquan optimizedinitializationforldpcdecodingovergfqinimpulsivenoiseenvironments