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arXiv 1104.0576cs.ITmath.IT
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Reed-Solomon码的自适应单次试错/擦除译码

Adaptive Single-Trial Error/Erasure Decoding of Reed-Solomon Codes

Christian Senger, Vladimir R. Sidorenko, Steffen Schober, Martin Bossert, Victor V. Zyablov

摘要:

代数译码算法通常应用于里德-所罗门码的译码。它们的主要优点是低计算复杂性和可预测的解码能力。许多算法都可以扩展,用于纠正错误和擦除。这使得解码器能够利用从传输信道获得的二进制量化的可靠性信息:具有高可靠性的接收符号被转发到解码算法,而具有低可靠性的符号被擦除。本文研究了Reed-Solomon码的自适应单次试错/擦除译码,即推导出一种自适应擦除策略,使译码后的码字剩余错误概率最小化。我们的结果是适用于任何错误/擦除解码算法,只要它的解码能力可以表示的解码器的能力函数。例子是使用Berlekamp-Massey-或Sugiyama算法的有界最小距离解码和Guruswami-Sudan列表解码器。

英文摘要:

Algebraic decoding algorithms are commonly applied for the decoding of Reed-Solomon codes. Their main advantages are low computational complexity and predictable decoding capabilities. Many algorithms can be extended for correction of both errors and erasures. This enables the decoder to exploit binary quantized reliability information obtained from the transmission channel: Received symbols with high reliability are forwarded to the decoding algorithm while symbols with low reliability are erased. In this paper we investigate adaptive single-trial error/erasure decoding of Reed-Solomon codes, i.e. we derive an adaptive erasing strategy which minimizes the residual codeword error probability after decoding. Our result is applicable to any error/erasure decoding algorithm as long as its decoding capabilities can be expressed by a decoder capability function. Examples are Bounded Minimum Distance decoding with the Berlekamp-Massey- or the Sugiyama algorithms and the Guruswami-Sudan list decoder.

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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