Analysis of Performance according to LDPC Decoding Algorithms 


Vol. 37,  No. 11, pp. 972-978, Nov.  2012


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  Abstract

LDPC (low density parity check) code shows near Shannon limit performance by iterative decoding based on sum-product algorithm (SPA). Message updating procedure between variable and check nodes in SPA is done by a scheduling method. LDPC code shows different performance according to scheduling schemes. The conventional researches have been shown that the shuffled BP (belief propagation) algorithm shows better performance than the standard BP algorithm although it needs less number of iterations. However the reason is not analyzed clearly. Therefore the reason of difference in performance according to LDPC decoding algorithms is analyzed in this paper. 4 cases according to satisfaction of parity check condition are considered and compared. As results, the difference in the updating procedure in a cycle in the parity check matrix is considered to be the main reason of performance difference.

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  Cite this article

[IEEE Style]

T. H. Yoon, J. T. Park, E. K. Joo, "Analysis of Performance according to LDPC Decoding Algorithms," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 11, pp. 972-978, 2012. DOI: .

[ACM Style]

Tae Hyun Yoon, Jin Tae Park, and Eon Kyeong Joo. 2012. Analysis of Performance according to LDPC Decoding Algorithms. The Journal of Korean Institute of Communications and Information Sciences, 37, 11, (2012), 972-978. DOI: .

[KICS Style]

Tae Hyun Yoon, Jin Tae Park, Eon Kyeong Joo, "Analysis of Performance according to LDPC Decoding Algorithms," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 11, pp. 972-978, 11. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880