DocumentCode :
1245345
Title :
Voronoi regions for binary linear block codes
Author :
Agrell, Erik
Author_Institution :
Dept. of Inf. Theory, Chalmers Univ. of Technol., Goteborg, Sweden
Volume :
42
Issue :
1
fYear :
1996
fDate :
1/1/1996 12:00:00 AM
Firstpage :
310
Lastpage :
316
Abstract :
The Voronoi regions of a block code govern many aspects of the code´s performance on a Gaussian channel, and they are fundamental instruments in, for example, error probability analysis and soft-decision decoding. The article presents an efficient method for finding the boundaries of the Voronoi regions for an arbitrary binary linear block code. Two theoretical results together lead to the Voronoi regions. First, it is shown that the question of the Voronoi neighborship can be reduced into testing a simpler relation, called the Gabriel neighborship. Second, a fast method of recognising Gabriel neighbors is proposed. These results are finally employed to describe the Voronoi regions for the Golay codes and several BCH codes, including Hamming codes
Keywords :
BCH codes; Gaussian channels; Golay codes; Hamming codes; binary sequences; block codes; coding errors; decoding; error statistics; linear codes; probability; BCH codes; Gabriel neighbors; Gabriel neighborship; Gaussian channel; Golay codes; Hamming codes; Voronoi neighborship; Voronoi regions; binary linear block codes; boundaries; error probability analysis; performance; soft decision decoding; Block codes; Decoding; Distortion measurement; Error analysis; Error probability; Euclidean distance; Gaussian channels; Instruments; Lattices; Performance analysis;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.481810
Filename :
481810
Link To Document :
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