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arXiv 0903.2675cs.ITmath.IT
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常维码的构造及其覆盖性质

Construction and Covering Properties of Constant-Dimension Codes

Maximilien Gadouleau, Zhiyuan Yan

摘要:

研究了用于随机网络编码中非相干纠错的恒维码。尽管提升Gabidulin码(简称KK码)得到的CDC是接近最优的,但给定最小距离的CDC的最大基数以及如何构造最优CDC都是一个悬而未决的问题。在本文中,我们首先构造了一类新的CDCs的基础上KK码,称为增广KK码,其基数大于以前提出的CDCs。然后,我们提出了一个低复杂度的解码算法,我们的增广KK码使用的KK码。我们的解码算法纠正更多的错误比有界子空间距离解码器利用我们的增广KK码的结构。在本文的其余部分,我们研究的覆盖性质的CDC。我们首先推导出一个覆盖半径给定的CDC的最小基数的界限,然后确定这个数量的渐近行为。此外,我们还证明了秩度量码的提升具有最大可能的覆盖半径,因此秩度量码的提升不是最优的填充CDC。最后,我们通过置换提升秩度量码来构造覆盖良好的CDC。

英文摘要:

Constant-dimension codes (CDCs) have been investigated for noncoherent error correction in random network coding. The maximum cardinality of CDCs with given minimum distance and how to construct optimal CDCs are both open problems, although CDCs obtained by lifting Gabidulin codes, referred to as KK codes, are nearly optimal. In this paper, we first construct a new class of CDCs based on KK codes, referred to as augmented KK codes, whose cardinalities are greater than previously proposed CDCs. We then propose a low-complexity decoding algorithm for our augmented KK codes using that for KK codes. Our decoding algorithm corrects more errors than a bounded subspace distance decoder by taking advantage of the structure of our augmented KK codes. In the rest of the paper we investigate the covering properties of CDCs. We first derive bounds on the minimum cardinality of a CDC with a given covering radius and then determine the asymptotic behavior of this quantity. Moreover, we show that liftings of rank metric codes have the highest possible covering radius, and hence liftings of rank metric codes are not optimal packing CDCs. Finally, we construct good covering CDCs by permuting liftings of rank metric codes.

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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