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.

Volume

5

fYear

2006

fDate

7-10 May 2006

Firstpage

2499

Lastpage

2502

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd

Conference_Location

Melbourne, Vic.

ISSN

1550-2252

Print_ISBN

0-7803-9391-0

Electronic_ISBN

1550-2252

Type

conf

DOI

10.1109/VETECS.2006.1683307

Filename

1683307