DocumentCode :
5036
Title :
Generalized Binary Representation for the Nonbinary LDPC Code With Decoder Design
Author :
Yang Yu ; Wen Chen ; Jun Li ; Xiao Ma ; Baoming Bai
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Volume :
62
Issue :
9
fYear :
2014
fDate :
Sept. 2014
Firstpage :
3070
Lastpage :
3083
Abstract :
In this paper, we consider the performance-optimized nonbinary low-density parity check code over general linear group, i.e., C̅. A new methodology for constructing the binary representation [generalized binary representation (GBR)] of C̅ is proposed, which can be optimized with regard to both degree distributions and girth. As to the decoding of the GBR, we develop a low-complexity hybrid parallel decoding process. It is shown that the decoding performance of the GBR under the proposed binary decoding process could closely approach the decoding performance of its mother code C̅ under nonbinary belief propagation decoding. A simple code optimization algorithm for the GBR is also provided. Simulations show the comparative results and justify the advantages of the proposed constructions.
Keywords :
decoding; optimisation; parity check codes; GBR; binary decoding process; generalized binary representation; low-complexity hybrid parallel decoding process; nonbinary LDPC code; nonbinary belief propagation decoding; performance-optimized nonbinary low-density parity check code; simple code optimization algorithm; Computational complexity; Decoding; Educational institutions; Optimization; Parity check codes; Vectors; Non-binary LDPC code; binary Gaussian channel; binary image; binary symmetric channel;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2014.2344912
Filename :
6868298
Link To Document :
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