On the encoding complexity of systematic polar codes

Liping Li, Wenyi Zhang
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引用次数: 16

Abstract

Systematic polar codes are proposed by Arikan and are shown to have better BER performance than non-systematic polar codes. From a recursive decomposition of the generator matrix of polar codes, Arikan showed that the encoding complexity of systematic polar codes is also O(N log N) where N is the code block length. But the recursive process involves some additional calculations in transforming the problem instances back and forth. In this paper, by using the sparsity property of the generator matrix, we propose an encoding process which has the same complexity as non-systematic polar codes in the presence of an additional memory array. Without the additional memory elements, the number of additions of the proposed encoding process increases compared with non-systematic polar codes. We also provide an analysis to quantify this additional increase of the complexity.
系统极码的编码复杂度研究
系统极化码由Arikan提出,具有比非系统极化码更好的误码率性能。通过对极码生成器矩阵的递归分解,Arikan证明了系统极码的编码复杂度也是O(N log N),其中N为码块长度。但是递归过程在来回转换问题实例时涉及一些额外的计算。本文利用生成矩阵的稀疏性,提出了一种具有与非系统极码相同复杂度的编码方法。与非系统极性编码相比,在没有额外存储元件的情况下,所提出的编码过程的添加数量增加。我们还提供了一个分析来量化这种额外的复杂性增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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