Open AccessDesign of protograph codes for additive white symmetric alpha‐stable noise channels
Author(s) -
Zhong Xingwei,
Cai Kui,
Chen Pingping,
Mei Zhen
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0332
Subject(s) - low density parity check code , additive white gaussian noise , decoding methods , channel (broadcasting) , computer science , algorithm , code (set theory) , noise (video) , theoretical computer science , mathematics , telecommunications , artificial intelligence , set (abstract data type) , image (mathematics) , programming language
The protograph low‐density parity‐check (LDPC) codes possess many attractive properties, such as the low encoding/decoding complexity and better error floor performance, and hence have been successfully applied to different types of communication and data storage channels. In this study, the authors design protograph LDPC codes for communication systems corrupted by the impulsive noise, which are modelled as additive white symmetric alpha‐stable noise (AWS α SN) channels. They start by presenting a novel simulation‐based protograph extrinsic information transfer analysis to derive the iterative decoding threshold of the protograph codes. By further applying the asymptotic weight distribution analysis, the authors design new protograph codes for the AWS α SN channel. Both theoretical analysis and simulation results demonstrate that the proposed protograph codes can provide better error rate performance than the prior art AR4JA code, the irregular codes optimised for the AWGN channel, as well as the irregular codes optimised for the AWS α SN channel.