Title :
Low complexity syndrome based decoding of Turbo codes
Author :
Geldmacher, Jan ; Hueske, Klaus ; Götze, Jürgen ; Kosakowski, Martin
Author_Institution :
Inf. Process. Lab., Tech. Univ. Dortmund, Dortmund, Germany
Abstract :
A new syndrome trellis based decoding approach for Turbo coded data is described in this paper. Based on estimating error symbols instead of code symbols, it inherently features options for reducing the computational complexity of the decoding process. After deriving required transition metrics, numerical results in terms of block error rate and required equivalent iterations are presented to demonstrate the efficiency of the approach.
Keywords :
computational complexity; decoding; error detection codes; trellis codes; turbo codes; block error rate; computational complexity; equivalent iterations; estimating error symbols; low complexity syndrome based decoding; syndrome trellis based decoding approach; turbo codes; Complexity theory; Convolutional codes; Iterative decoding; Maximum likelihood decoding; Signal to noise ratio; Systematics;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6283938