使用Levenshtein距离度量的删除信道双向Viterbi解码

Ling Cheng, H. C. Ferreira, T. Swart
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引用次数: 7

摘要

本文提出了一种基于Levenshtein距离度量的正则卷积编码系统双向Viterbi解码算法。对于删除信道,当使用r = 0.67的正则卷积码时,该解码算法可以在6000比特帧内平均纠正30个删除错误;当使用r = 0.25的正则卷积码时,它可以在4000比特帧内平均纠正80个删除错误
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bidirectional Viterbi Decoding using the Levenshtein Distance Metric for Deletion Channels
In this paper, we present a bidirectional Viterbi decoding algorithm using the Levenshtein distance metric for a regular convolutional encoding system. For a deletion channel, this decoding algorithm can correct an average of 30 deletion errors within a 6000 bit frame, when using an r = 0.67 regular convolutional code; and it can correct an average of 80 deletion errors within a 4000 bit frame, when using an r = 0.25 regular convolutional code
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