Equivalence for Rank-metric and Matrix Codes and Automorphism Groups of Gabidulin Codes
Katherine Morrison

TL;DR
This paper develops a framework for classifying rank-metric and matrix codes based on their structure and distance properties, extending equivalence notions and characterizing automorphism groups, especially for Gabidulin codes.
Contribution
It introduces a new notion of equivalence for matrix codes, compares it with rank-metric equivalence, and fully characterizes the automorphism group of Gabidulin codes.
Findings
Matrix equivalence is more general than rank-metric equivalence.
Complete characterization of Gabidulin code automorphism group.
Partial characterization of matrix automorphism group for Gabidulin-derived codes.
Abstract
For a growing number of applications such as cellular, peer-to-peer, and sensor networks, efficient error-free transmission of data through a network is essential. Toward this end, K\"{o}tter and Kschischang propose the use of subspace codes to provide error correction in the network coding context. The primary construction for subspace codes is the lifting of rank-metric or matrix codes, a process that preserves the structural and distance properties of the underlying code. Thus, to characterize the structure and error-correcting capability of these subspace codes, it is valuable to perform such a characterization of the underlying rank-metric and matrix codes. This paper lays a foundation for this analysis through a framework for classifying rank-metric and matrix codes based on their structure and distance properties. To enable this classification, we extend work by Berger on…
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