DocumentCode
2267592
Title
Braided convolutional codes
Author
Wei Zhang ; Lentmaier, M. ; Costello, D.J. ; Zigangirov, K.S.
Author_Institution
Dept. of Electr. Eng., Notre Dame Univ., IN
fYear
2005
fDate
4-9 Sept. 2005
Firstpage
592
Lastpage
596
Abstract
We present a new class of iteratively decodable turbo-like codes, called braided convolutional codes. Constructions and encoding procedures for tightly and sparsely braided codes are introduced. Sparsely braided codes exhibit good convergence behavior with iterative decoding, and a statistical analysis using Markov permutors shows that the free distance of these codes grows linearly with constraint length.
Keywords
Markov processes; convolutional codes; iterative decoding; turbo codes; Markov permutors; braided convolutional codes; convergence behavior; iterative decoding; statistical analysis; turbo codes; Aerospace engineering; Block codes; Convergence; Convolutional codes; Encoding; Iterative decoding; Navigation; Pipelines; Statistical analysis; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2005. ISIT 2005. Proceedings. International Symposium on
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-9151-9
Type
conf
DOI
10.1109/ISIT.2005.1523404
Filename
1523404
Link To Document