Efficient Design of Structured LDPC Codes 


Vol. 31,  No. 1, pp. 14-19, Jan.  2006


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  Abstract

The high encoding complexity of LDPC codes can be solved by designing structured parity-check matrix. If the parity-check matrix of LDPC codes is composed of same type of blocks, decoder implementation can be simple, this structure allow structured decoding and required memory for storing the parity-check matrix can be reduced largely. In this paper, we propose a construction algorithm for short block length structured LDPC codes based on girth condition, PEG algorithm and variable node connectivity. The code designed by this algorithm shows similar performance to other codes without structured constraint in low SNR and better performance in high SNR than those by simulation.

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  Cite this article

[IEEE Style]

B. Chung, J. Kim, H. Song, "Efficient Design of Structured LDPC Codes," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 1, pp. 14-19, 2006. DOI: .

[ACM Style]

Bi-Woong Chung, Joon-Sung Kim, and Hong-Yeop Song. 2006. Efficient Design of Structured LDPC Codes. The Journal of Korean Institute of Communications and Information Sciences, 31, 1, (2006), 14-19. DOI: .

[KICS Style]

Bi-Woong Chung, Joon-Sung Kim, Hong-Yeop Song, "Efficient Design of Structured LDPC Codes," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 1, pp. 14-19, 1. 2006.