Title :
Convolutional coupled codes between distance properties and convergence behavior of the iterative decoding scheme
Author_Institution :
Inst. for Commun. Technol., Darmstadt Univ. of Technol., Germany
Abstract :
The class of convolutional coupled codes is a promising alternative to classical turbo-codes. A convolutional coupled code consists of a cascade of ν identical recursive systematic convolutional (RSC) outer codes of rate k/n and k inner block codes with parameters (2ν, ν, di). The codes are linked together such that only the systematic part of the outer codes is encoded with the inner block encoders. The bits of each information vector of the outer codes are scrambled by a given interleaving before entering to the inner encoders. In contrast to parallel concatenated turbo-codes, in which the information symbols and the redundancy from the constituent codes are transmitted, we transmit only the redundancy produced by the outer and inner codes. The over-all code rate of the resulting code remains k/n. The influence of number, code memory and code polynomials of the outer convolutional codes on the distance properties and the convergence behavior of the iterative decoding scheme is studied.
Keywords :
block codes; convergence of numerical methods; convolutional codes; interleaved codes; iterative decoding; polynomials; redundancy; RSC outer codes; code memory; code polynomials; convergence behavior; convolutional coupled codes; distance properties; inner block codes; interleaving; iterative decoding; recursive systematic convolutional outer codes; redundancy; Bit error rate; Concatenated codes; Convergence; Convolution; Convolutional codes; Error probability; Iterative decoding; Redundancy; Signal to noise ratio; Turbo codes;
Conference_Titel :
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7501-7
DOI :
10.1109/ISIT.2002.1023670