Optimization Design and Analysis of Systematic LT codes over AWGN Channel

In this paper, we study systematic Luby Transform (SLT) codes over additive white Gaussian noise (AWGN) channel. We introduce the encoding scheme of SLT codes and give the bipartite graph for iterative belief propagation (BP) decoding algorithm. Similar to low-density parity-check codes, Gaussian ap...

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Bibliographic Details
Main Authors Xu, Shengkai, Xu, Dazhuan, Zhang, Xiaofei, Shao, Hanqin
Format Journal Article
LanguageEnglish
Published 08.05.2015
Subjects
Computer Science - Information Theory
Mathematics - Information Theory
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Summary:In this paper, we study systematic Luby Transform (SLT) codes over additive white Gaussian noise (AWGN) channel. We introduce the encoding scheme of SLT codes and give the bipartite graph for iterative belief propagation (BP) decoding algorithm. Similar to low-density parity-check codes, Gaussian approximation (GA) is applied to yield asymptotic performance of SLT codes. Recent work about SLT codes has been focused on providing better encoding and decoding algorithms and design of degree distributions. In our work, we propose a novel linear programming method to optimize the degree distribution. Simulation results show that the proposed distributions can provide better bit-error-ratio (BER) performance. Moreover, we analyze the lower bound of SLT codes and offer closed form expressions.
DOI:10.48550/arxiv.1505.01944