Orbit Structure of Grassmannian G2,m and a Decoder for Grassmann Code C(2, m)

IF 2.2 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Information Theory Pub Date : 2022-10-10 DOI:10.1109/TIT.2022.3213568
Fernando L. Piñero;Prasant Singh
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Abstract

In this article, we consider decoding Grassmann codes, linear codes associated to the Grassmannian and its embedding in a projective space. We look at the orbit structure of Grassmannian arising from the multiplicative group ${\mathbb {F}}_{q^{m}}^{*}$ in $GL_{m}(q)$ . We project the corresponding Grassmann code onto these orbits to obtain a subcode of a $q$ –ary Reed-Solomon code. We prove that some of these projections contain an information set of the parent Grassmann code. By improving the decoding capacity of Peterson’s decoding algorithm for the projected subcodes, we prove that one can correct up to $\lfloor (d-1)/2\rfloor $ errors for Grassmann code, where $d$ is the minimum distance of Grassmann code.
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格拉斯曼G2,m的轨道结构及格拉斯曼码C(2, m)的解码器
在本文中,我们考虑解码格拉斯曼码,与格拉斯曼码相关的线性码及其在射影空间中的嵌入。我们观察由$GL_{m}(q)$中的乘法群${\mathbb {F}}_{q^{m}}^{*}$产生的Grassmannian轨道结构。我们将相应的Grassmann码投影到这些轨道上,得到$q$ -ary Reed-Solomon码的子码。我们证明了其中一些投影包含了父格拉斯曼码的信息集。通过改进Peterson译码算法对投影子码的译码能力,我们证明了可以对Grassmann码纠正高达$\lfloor (d-1)/2\rfloor $的错误,其中$d$为Grassmann码的最小距离。
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来源期刊
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory 工程技术-工程:电子与电气
CiteScore
5.70
自引率
20.00%
发文量
514
审稿时长
12 months
期刊介绍: The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information. The boundaries of acceptable subject matter are intentionally not sharply delimited. Rather, it is hoped that as the focus of research activity changes, a flexible policy will permit this Transactions to follow suit. Current appropriate topics are best reflected by recent Tables of Contents; they are summarized in the titles of editorial areas that appear on the inside front cover.
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Table of Contents IEEE Transactions on Information Theory Publication Information IEEE Transactions on Information Theory Information for Authors Large and Small Deviations for Statistical Sequence Matching Derivatives of Entropy and the MMSE Conjecture
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