Stochastic Decoding of Turbo Codes
Stochastic Decoding of Turbo Codes
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DOI：
10.1109/tsp.2010.2072924
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发表时间：
2010-12
影响因子：
5.4
通讯作者：
Q. Dong;M. Arzel;C. Jégo;W. Gross
中科院分区：
文献类型：
--
作者：
Q. Dong;M. Arzel;C. Jégo;W. Gross
随机计算是对随机比特流执行概率运算的技术。前向纠错（FEC）码的随机解码就是受到这种技术的启发。本文将随机译码方法的应用推广到卷积码和Turbo码族。它表明，随机计算是一个很有前途的解决方案，以提高数据吞吐量的Turbo解码器非常简单的实现。随机全并行Turbo译码器实现了传统后验概率（APP）译码器的纠错性能。据我们所知，这是第一个随机涡轮解码器，解码一个国家的最先进的涡轮码。此外，提出了一种创新的系统技术，以科普随机添加，负责的吞吐量瓶颈。
Stochastic computation is a technique in which operations on probabilities are performed on random bit streams. Stochastic decoding of forward error-correction (FEC) codes is inspired by this technique. This paper extends the application of the stochastic decoding approach to the families of convolutional codes and turbo codes. It demonstrates that stochastic computation is a promising solution to improve the data throughput of turbo decoders with very simple implementations. Stochastic fully-parallel turbo decoders are shown to achieve the error correction performance of conventional a posteriori probability (APP) decoders. To our knowledge, this is the first stochastic turbo decoder which decodes a state-of-the-art turbo code. Additionally, an innovative systematic technique is proposed to cope with stochastic additions, responsible for the throughput bottleneck.