A Modified Belief Propagation Decoding Algorithm of LDPC Codes for Fast Convergence
Aimin Zhu, Sen-jie Yao
Abstract
Aimin Zhu, Sen-jie Yao
Abstract
The belief-propagation decoding algorithm for low-density parity check codes is analyzed and the convergence characteristic of this algorithm is researched. A modified belief-propagation decoding algorithm aiming at decreasing the number of iteration is proposed. Simulation result shows that the number of iteration of the proposed algorithm is only half of that of the standard one at expense of little loss in performance.
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The belief-propagation decoding algorithm for low-density parity check codes is analyzed and the convergence characteristic of this algorithm is researched. A modified belief-propagation decoding algorithm aiming at decreasing the number of iteration is proposed. Simulation result shows that the number of iteration of the proposed algorithm is only half of that of the standard one at expense of little loss in performance.
Key concepts: Belief propagation, Low-density parity-check code, Decoding methods, Algorithm, Berlekamp–Welch algorithm, Convergence (economics), Computer science, Sequential decoding