Title :
A Parallel Processing Approach 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 the implementation of fast forward-only iterative belief propagation decoding of orthogonal convolutional codes based on one-step decoding. In the proposed parallel processing mode, the iterative decoding of orthogonal convolutional codes makes use of the complete set of orthogonal parity-check equations on each information symbol, thus avoiding the error performance loss. The proposed parallel processing allows the speed of iterative decoding to approach that of one-step decoding. Therefore, an advantageous tradeoff can be available between data rate and latency
Keywords :
convolutional codes; iterative decoding; parallel processing; parity check codes; iterative belief propagation decoding; iterative decoding; one-step decoding; orthogonal convolutional codes; orthogonal parity-check equations; parallel processing approach; AWGN; Belief propagation; Binary phase shift keying; Convolutional codes; Equations; Iterative algorithms; Iterative decoding; Iterative methods; Parallel processing; Parity check codes; belief propagation; iterative decoding; orthogonal convolutional codes; parallel processing;
Conference_Titel :
Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-9391-0
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2006.1683307
