Title :
On the Free Distance of Convolutional Turbo Codes
Author :
Huebner, A. ; Zigangirov, K.S. ; Costello, D.J.
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN
Abstract :
The free distance of convolutional codes is the most important parameter determining their performance under good channel conditions. In this paper, we investigate the free distance properties of turbo-like codes generated by non-terminated convolutional encoders and convolutional permutors. In particular, we prove the existence of such codes whose free distance exhibits the same asymptotic growth rate in the permuter memory as block turbo codes in the permuter size
Keywords :
block codes; convolutional codes; turbo codes; asymptotic growth rate; block turbo codes; convolutional permutors; convolutional turbo codes; free distance properties; nonterminated convolutional encoders; Convolution; Convolutional codes; Encoding; NASA; Parity check codes; Performance analysis; Signal to noise ratio; Turbo codes; Upper bound;
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
DOI :
10.1109/ISIT.2006.261554
