Hybrid Decoding Algorithm for LDPC Codes with Circles

Abstract:

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At present, Low-Density Parity-Check (LDPC) codes widely used in many fields of communications have the best performance of all the Error Correcting Codes (ECC). This paper mainly studies the decoding algorithms of LDPC. It proposes an improved algorithm which is named Check-Variable nodes Hybrid(CVH) algorithm on the basis of the existing algorithms. The CVH algorithm can reduce the computational complexity during the check-node update while overcome with the correlation between the variable-node news in a code with circles. As well as, comparing with the original algorithms the performance of the new one saves 0.1 and 0.3 dB than Log-likelihood Ratios (LLR) Belief Propagation (BP) and BP - based algorithms under Additive White Gaussian Noise (AWGN) channel when the Bit Error Rate (BER) falls to through the simulation. This point shows that this algorithm can increase the decoding performance and reduce the error rate effectively.

Info:

Periodical:

Advanced Materials Research (Volumes 271-273)

Edited by:

Junqiao Xiong

Pages:

258-263

DOI:

10.4028/www.scientific.net/AMR.271-273.258

Citation:

L. S. Hu et al., "Hybrid Decoding Algorithm for LDPC Codes with Circles", Advanced Materials Research, Vols. 271-273, pp. 258-263, 2011

Online since:

July 2011

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Price:

$35.00

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