Improved Short Length LT Codes for BIA WGN Channels

Xin Song, Yurong Liao, Dan Ding
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Abstract

While gaining increasing popularity, rateless codes, especially for short length Luby transform (LT) codes, are known to perform poorly over noisy channels. The decoding process of LT codes is analyzed, which shows that the low decoding success probability of short length LT codes is predominantly caused by lack of degree 1 check nodes (CNs). Based on this observation, a novel improved encoding scheme for short length LT codes over binary additive white gaussian noise (BIA WGN) channels is proposed. A new degree distribution and two weighting factors are presented, which are used to improve the proportion of degree 1 CNs. In addition, by setting a threshold, information nodes (INs) whose degrees are less than the threshold are screened continuously, and then extra degrees were added to these INs to improve the error floor performance of short length LT codes. Furthermore, the design principles of above parameters are presented, enabling the validity and universality of the improved scheme. Simulation results show that the improved short length LT code ($\pmb{k=50}$ and 200) can decrease the bit error rate (BER) by up to five orders of magnitude over BIAWGN channels.
改进的BIA WGN信道短长度LT码
虽然无速率码越来越受欢迎,但众所周知,对于短长度的鲁比变换(LT)码,在噪声信道上的性能很差。分析了LT码的译码过程,发现短长度LT码译码成功率低的主要原因是缺少1度校验节点(CNs)。在此基础上,提出了一种改进的二进制加性高斯白噪声(BIA WGN)信道短长度LT码的编码方案。提出了一种新的度分布和两个权重因子,用于提高1度神经网络的比例。此外,通过设置阈值,连续筛选度小于阈值的信息节点(INs),然后在这些INs上添加额外的度,以提高短长度LT码的错误层性能。并给出了上述参数的设计原则,证明了改进方案的有效性和通用性。仿真结果表明,改进的短长度LT码($\pmb{k=50}$和200)可以将BIAWGN信道上的误码率(BER)降低5个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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