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A Generalization Belief Propagation Decoding Algorithm for Polar Codes Based on Particle Swarm Optimization
2014
Mathematical Problems in Engineering
We propose a generalization belief propagation (BP) decoding algorithm based on particle swarm optimization (PSO) to improve the performance of the polar codes. Through the analysis of the existing BP decoding algorithm, we first introduce a probability modifying factor to each node of the BP decoder, so as to enhance the error correcting capacity of the decoding. Then, we generalize the BP decoding algorithm based on these modifying factors and drive the probability update equations for the
doi:10.1155/2014/606913
fatcat:aln75ibbprdn5gfjkm5smwch5m