DocumentCode
761613
Title
Location-correcting codes
Author
Roth, Ron M. ; Seroussi, Gadiel
Author_Institution
Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel
Volume
42
Issue
2
fYear
1996
fDate
3/1/1996 12:00:00 AM
Firstpage
554
Lastpage
565
Abstract
We study codes over GF(q) that can correct t channel errors assuming the error values are known. This is a counterpart to the well-known problem of erasure correction, where error values are found assuming the locations are known. The correction capabilities of these so-called t-location correcting codes (t-LCCs) are characterized by a new metric, the decomposability distance, which plays a role analogous to that of the Hamming metric in conventional error-correcting codes (ECCs). Based on the new metric, we present bounds on the parameters of t-LCCs that are counterparts to the classical Singleton, sphere packing and Gilbert-Varshamov bounds for ECCs. In particular, we show examples of perfect LCCs, and we study optimal (MDS-Like) LCCs that attain the Singleton-type bound on the redundancy. We show that these optimal codes are generally much shorter than their erasure (or conventional ECC) analogs. The length n of any t-LCC that attains the Singleton-type bound for t>1 is bounded from above by t+O(√(q)), compared to length q+1 which is attainable in the conventional ECC case. We show constructions of optimal t-LCCs for t∈{1, 2, n-2, n-1, n} that attain the asymptotic length upper bounds, and constructions for other values of t that are optimal, yet their lengths fall short of the upper bounds. The resulting asymptotic gap remains an open research problem. All the constructions presented can be efficiently decoded
Keywords
Galois fields; error correction codes; Galois field; Hamming metric; Singleton-type bound; asymptotic length; channel errors correction; code length; decomposability distance; erasure correction; error-correcting codes; location-correcting codes; optimal codes; redundancy; sphere packing bounds; upper bounds; Computer errors; Computer science; Decoding; Error correction; Error correction codes; Information theory; Linear code; Materials science and technology; Redundancy; Upper bound;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.485724
Filename
485724
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