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An evaluation method of the error performance of linear codes using coset partition

机译:基于陪集划分的线性码错误性能评估方法

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摘要

To evaluate the error performance of an error correcting code is significant for realizing a reliable communication system. However, to compute the error probability of a maximum-likelihood decoder (MLD) is especially difficult task for long practical codes. Though an efficient algorithm for the MLD, named an adaptive MLD algorithm, has been proposed by the authors, it cannot be applied to very large block codes. In this study, a new method to evaluate the error performance of linear block codes is proposed. In the proposed method, a code C to be evaluated is divided into cosets of a subcode of C, and MLD algorithms for the cosets constitute the whole evaluation system. In the proposed approach, the total evaluation time depends on how many and in a what way the cosets are chosen. The error performance of some Reed-Muller codes with length 128 is evaluated for running study.
机译:评估纠错码的错误性能对于实现可靠的通信系统具有重要意义。但是,对于长的实际代码,计算最大似然解码器(MLD)的错误概率特别困难。尽管作者提出了一种有效的MLD算法,称为自适应MLD算法,但它不能应用于非常大的分组码。在这项研究中,提出了一种评估线性分组码的错误性能的新方法。在所提出的方法中,将要评估的代码C分为C子代码的陪集,并且用于该陪集的MLD算法构成了整个评估系统。在提出的方法中,总评估时间取决于选择陪集的数量和选择方式。为了进行研究,评估了一些长度为128的Reed-Muller码的错误性能。

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