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arXiv cs/0701018cs.ITmath.IT
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Reed-Solomon码的代数软判决译码性能分析

Performance Analysis of Algebraic Soft-Decision Decoding of Reed-Solomon Codes

Andrew Duggan, Alexander Barg

摘要:

本文研究了离散无记忆加性噪声信道中Reed-Solomon码的代数软判决译码(ASD)的译码区域。推导出一个表达式的纠错半径内的软判决解码器产生一个列表,其中包含发送的码字。ASD的错误半径被证明是大于Guruswami-Sudan硬判决解码的低速率码的子集。这些结果也扩展到Parvaresh和Vardy意义上的多变量插值。然后给出ASD的错误概率的上限,其中错误被定义为解码器从其列表中选择错误码字的事件。这个新的定义给出了一个更准确的范围的ASD的错误的概率比文献中的结果。

英文摘要:

We investigate the decoding region for Algebraic Soft-Decision Decoding (ASD) of Reed-Solomon codes in a discrete, memoryless, additive-noise channel. An expression is derived for the error correction radius within which the soft-decision decoder produces a list that contains the transmitted codeword. The error radius for ASD is shown to be larger than that of Guruswami-Sudan hard-decision decoding for a subset of low-rate codes. These results are also extended to multivariable interpolation in the sense of Parvaresh and Vardy. An upper bound is then presented for ASD's probability of error, where an error is defined as the event that the decoder selects an erroneous codeword from its list. This new definition gives a more accurate bound on the probability of error of ASD than the results available in the literature.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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