Accumulate rateless codes and their performances over additive white Gaussian noise channel

In this study, the authors propose a new class of rateless codes applicable to noisy channels, that is, the so-called accumulate rateless (AR) codes, which concatenate the low density generator matrix (LDGM) rateless code with a simple post-code, that is, a post-position accumulator. The new coding...

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Veröffentlicht in:IET communications 2013-03, Vol.7 (4), p.372-381
Hauptverfasser: Chen, Shaolei, Zhang, Zhaoyang, Zhu, Liangliang, Wu, Kedi, Chen, Xiaoming
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container_end_page 381
container_issue 4
container_start_page 372
container_title IET communications
container_volume 7
creator Chen, Shaolei
Zhang, Zhaoyang
Zhu, Liangliang
Wu, Kedi
Chen, Xiaoming
description In this study, the authors propose a new class of rateless codes applicable to noisy channels, that is, the so-called accumulate rateless (AR) codes, which concatenate the low density generator matrix (LDGM) rateless code with a simple post-code, that is, a post-position accumulator. The new coding structure is not only effective in reducing the ‘error floor’ as observed in traditional LDGM rateless codes such as Luby transform (LT) codes, but also quite simple for realisation as compared with the rateless codes using a pre-coding structure such as Raptor codes. The extrinsic information transfer charts and the corresponding projection of intersectant curves for both the systematic and non-systematic AR codes are analysed. Based on these, their convergence performance and optimal degree distributions are investigated. Simulation results show that, the performance of AR codes over additive white Gaussian noise channel is comparable to that of Raptor codes.
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The new coding structure is not only effective in reducing the ‘error floor’ as observed in traditional LDGM rateless codes such as Luby transform (LT) codes, but also quite simple for realisation as compared with the rateless codes using a pre-coding structure such as Raptor codes. The extrinsic information transfer charts and the corresponding projection of intersectant curves for both the systematic and non-systematic AR codes are analysed. Based on these, their convergence performance and optimal degree distributions are investigated. 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subjects accumulate rateless codes
additive white Gaussian noise channel
Additives
AWGN channels
Channels
codes
Convergence
Density
error floor reduction
extrinsic information transfer charts
Gaussian
low density generator matrix rateless code
Noise
optimal degree distributions
Optimization
precoding
pre‐coding structure
Raptor codes
Simulation
title Accumulate rateless codes and their performances over additive white Gaussian noise channel
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