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2008•Journal of Huaiyin Institute of TechnologyRequires access

A Modified Belief Propagation Decoding Algorithm of LDPC Codes for Fast Convergence

Yao Senjie

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Abstract

This paper analyzed the Belief-Propagation decoding algorithm for Low-Density Parity Check Codes and researched the convergence characteristic of this algorithm,and then proposed a modified Belief-Propagation decoding algorithm aiming at decreasing the number of iteration.Simulation result shows that the number of iteration of the proposed algorithm is only one-third of the standard one at expense of little loss in performance.

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What this paper is about

This paper analyzed the Belief-Propagation decoding algorithm for Low-Density Parity Check Codes and researched the convergence characteristic of this algorithm,and then proposed a modified Belief-Propagation decoding algorithm aiming at decreasing the number of iteration.Simulation result shows that the number of iteration of the proposed algorithm is only one-third of the standard one at expense of little loss in performance.

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Available abstract

This paper analyzed the Belief-Propagation decoding algorithm for Low-Density Parity Check Codes and researched the convergence characteristic of this algorithm,and then proposed a modified Belief-Propagation decoding algorithm aiming at decreasing the number of iteration.Simulation result shows that the number of iteration of the proposed algorithm is only one-third of the standard one at expense of little loss in performance.

Key concepts: Belief propagation, Low-density parity-check code, Algorithm, Decoding methods, Berlekamp–Welch algorithm, Convergence (economics), Sequential decoding, Computer science

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