DocumentCode :
1523332
Title :
A low-complexity algorithm for the construction of algebraic-geometric codes better than the Gilbert-Varshamov bound
Author :
Shum, Kenneth W. ; Aleshnikov, Ilia ; Kumar, P. Vijay ; Stichtenoth, Henning ; Deolalikar, Vinay
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Volume :
47
Issue :
6
fYear :
2001
fDate :
9/1/2001 12:00:00 AM
Firstpage :
2225
Lastpage :
2241
Abstract :
Since the proof in 1982, by Tsfasman Vladut and Zink of the existence of algebraic-geometric (AG) codes with asymptotic performance exceeding the Gilbert-Varshamov (G-V) bound, one of the challenges in coding theory has been to provide explicit constructions for these codes. In a major step forward during 1995-1996, Garcia and Stichtenoth (GS) provided an explicit description of algebraic curves, such that AG codes constructed on them would have a performance better than the G-V bound. We present the first low-complexity algorithm for obtaining the generator matrix for AG codes on the curves of GS. The symbol alphabet of the AG code is the finite field of q2, q2⩾49, elements. The complexity of the algorithm, as measured in terms of multiplications and divisions over the finite field GF(q2), is upper-bounded by [Nlogq(N)]3 where N is the length of the code. An example of code construction using the above algorithm is presented. By concatenating the AG code with short binary block codes, it is possible to obtain binary codes with asymptotic performance close to the G-V bound. Some examples of such concatenation are included
Keywords :
algebraic geometric codes; binary codes; block codes; computational complexity; concatenated codes; AG codes; Gilbert-Varshamov bound; algebraic curves; algebraic-geometric codes; asymptotic performance; code construction; code length; coding theory; concatenated code; divisions; finite field; generator matrix; low-complexity algorithm; multiplications; performance; pole cancelling algorithm; short binary block codes; symbol alphabet; Binary codes; Block codes; Concatenated codes; Encoding; Galois fields; Information theory; Laboratories; Length measurement; Poles and towers; Upper bound;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.945244
Filename :
945244
Link To Document :
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