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
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