Title :
Locally optimal (nonshortening) linear covering codes and minimal saturating sets in projective spaces
Author :
Davydov, Alexander A. ; Faina, Giorgio ; Marcugini, Stefano ; Pambianco, Fernanda
Author_Institution :
Inst. for Inf. Transmission Problems, Russian Acad. of Sci., Moscow, Russia
Abstract :
A concept of locally optimal (LO) linear covering codes is introduced in accordance with the concept of minimal saturating sets in projective spaces over finite fields. An LO code is nonshortening in the sense that one cannot remove any column from a parity-check matrix without increasing the code covering radius. Several qm-concatenating constructions of LO covering codes are described. Taking a starting LO code as a "seed", such constructions produce an infinite family of LO codes with the same covering radius. The infinite families of LO codes are designed using minimal saturating sets as starting codes. New upper bounds on the length function are given. New extremal and classification problems for linear covering codes are formulated and investigated, in particular, the spectrum of possible lengths of LO codes including the greatest possible length. The complete computer classification of the minimal saturating sets in small geometries and of the corresponding LO codes is obtained.
Keywords :
concatenated codes; linear codes; matrix algebra; parity check codes; LO; concatenating construction; finite field; locally optimal linear covering code; minimal saturating set; nonshortening covering code; parity-check matrix; projective space geometry; Combinatorial mathematics; Decoding; Electrons; Error correction codes; Information security; Information theory; Random variables; Reliability theory; Covering codes; covering density; covering radius; minimal saturating sets in projective geometry; nonshortening covering codes;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2005.859297