Title :
Forward-only iterative decoding of convolutional self-orthogonal codes
Author :
Haccoun, David ; He, Yu-Cheng ; Cardinal, Christian
Author_Institution :
Dept. of Electr. Eng., Ecole Polytech. de Montreal, Que., Canada
fDate :
27 June-2 July 2004
Abstract :
A class of forward-only iterative belief propagation algorithms for decoding convolutional self-orthogonal codes is presented, which perform successively a number of one-step decoding and thus have only an initial decoding delay. The one-step belief propagation decoders can be realized in a similar way to one-step threshold decoders. The error performance of the algorithms is easily improved by using a weighing technique. These iterative algorithms allow good tradeoffs between complexity, latency, and error performance of the coding scheme.
Keywords :
convolutional codes; iterative decoding; optimisation; belief propagation algorithm; convolutional self-orthogonal code; decoding delay; error performance; forward-only iterative decoding; threshold decoder; weighing technique; Additive white noise; Convolutional codes; Delay effects; Equations; Feedback; Iterative algorithms; Iterative decoding; Parity check codes; Shift registers; Signal to noise ratio;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365526