Title :
Location-correcting codes
Author :
Roth, Ron M. ; Seroussi, Gadiel
Author_Institution :
Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel
fDate :
3/1/1996 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on