DocumentCode :
1554205
Title :
Woven convolutional codes .I. Encoder properties
Author :
Höst, Stefan ; Johannesson, Rolf ; Zyablov, Victor V.
Author_Institution :
Dept. of Inf. Technol., Lund Univ., Sweden
Volume :
48
Issue :
1
fYear :
2002
fDate :
1/1/2002 12:00:00 AM
Firstpage :
149
Lastpage :
161
Abstract :
Encoders for convolutional codes with large free distances can be constructed by combining several less powerful convolutional encoders. This paper is devoted to constructions in which the constituent convolutional codes are woven together in a manner that resembles the structure of a fabric. The general construction is called twill and it is described together with two special cases, viz., woven convolutional encoders with outer warp and with inner warp. The woven convolutional encoders inherit many of their structural properties, such as minimality and catastrophicity, from their constituent encoders. For all three types of woven convolutional codes upper and lower bounds on their free distances as well as lower bounds on the active distances of their encoders are derived
Keywords :
computational complexity; concatenated codes; convolutional codes; decoding; error statistics; active distances; asymptotic lower bounds; catastrophicity; concatenated convolutional codes; decoding complexity; encoder properties; error probability; inner warp; large free distances; memory; minimality; outer warp; structural properties; twill; upper bounds; woven convolutional codes; woven convolutional encoders; Associate members; Concatenated codes; Convolutional codes; Councils; Fabrics; Information technology; Information theory; Iterative decoding; Lakes; Turbo codes;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.971745
Filename :
971745
Link To Document :
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