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Title: Systematic maximum sum rank codes
Author: Almeida, Paulo
Martínez-Peñas, Umberto
Napp, Diego
Keywords: Maximum Rank Distance
Maximum Sum Rank Distance
Convolutional codes
Superregular matrices
Gabidulin codes
Issue Date: Aug-2020
Publisher: Elsevier
Abstract: In the last decade there has been a great interest in extending results for codes equipped with the Hamming metric to analogous results for codes endowed with the rank metric. This work follows this thread of research and studies the characterization of systematic generator matrices (encoders) of codes with maximum rank distance. In the context of Hamming distance these codes are the so-called Maximum Distance Separable (MDS) codes and systematic encoders have been fully investigated. In this paper we investigate the algebraic properties and representation of encoders in systematic form of Maximum Rank Distance (MRD) codes and Maximum Sum Rank Distance (MSRD) codes. We address both block codes and convolutional codes separately and present necessary and sufficient conditions for an encoder in systematic form to generate a code with maximum (sum) rank distance. These characterizations are given in terms of certain matrices that must be superregular in a extension field and that preserve superregularity after some transformations performed over the base field. We conclude the work presenting some examples of Maximum Sum Rank convolutional codes over small fields. For the given parameters the examples obtained are over smaller fields than the examples obtained by other authors.
Peer review: yes
DOI: 10.1016/j.ffa.2020.101677
ISSN: 1071-5797
Appears in Collections:CIDMA - Artigos
AGG - Artigos
DMat - Artigos

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