Title :
Parallel processing for fast iterative decoding of orthogonal convolutional codes
Author :
He, Yu-Cheng ; Haccoun, David ; Cardinal, Christian
Author_Institution :
Dept. of Electr. Eng., Ecole Polytech. de Montreal, Que.
Abstract :
An efficient parallel processing mode is proposed for fast decoding of orthogonal convolutional codes using the forward-only iterative belief propagation algorithm. This iterative decoding can approach the speed of one-step decoding while providing useful tradeoffs between decoding speed and error performance. The error performances of two convolutional self-doubly-orthogonal codes are obtained by simulation, and compared to their asymptotic performances
Keywords :
convolutional codes; iterative decoding; parallel processing; belief propagation algorithm; iterative decoding; orthogonal convolutional code; parallel processing; AWGN; Belief propagation; Binary phase shift keying; Convolutional codes; Helium; Interleaved codes; Iterative algorithms; Iterative decoding; Iterative methods; Parallel processing;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2006.1714538
