DocumentCode :
2920744
Title :
Two-stage iterative decoding algorithms for a class of cyclic codes
Author :
Zhang, Li ; Huang, Qin ; Shu Lin
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA
fYear :
2010
fDate :
6-8 Jan. 2010
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a class of iteratively decodable cyclic codes. Codes in this class have large minimum distance; however, their Tanner graphs contain many short cycles of length 4. With the conventional iterative decoding based on belief propagation, these short cycles significantly degrade the error performance of the codes. To avoid the degrading effect of these short cycles in performance, two-stage iterative decoding algorithms are devised. Cyclic codes have encoding advantage over other linear block codes. Encoding of a cyclic code in systematic form can be implemented with a single feedback shift-register.
Keywords :
cyclic codes; iterative decoding; Tanner graphs; codes. error performance; cyclic codes; linear block codes; two-stage iterative decoding algorithms; Belief propagation; Block codes; Degradation; Encoding; Feedback; Geometry; Iterative algorithms; Iterative decoding; Shift registers; Sum product algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory (ITW 2010, Cairo), 2010 IEEE Information Theory Workshop on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-6372-5
Type :
conf
DOI :
10.1109/ITWKSPS.2010.5503173
Filename :
5503173
Link To Document :
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