CRC-Aided Belief Propagation with Permutated Graphs Decoding of Polar Codes

It has been shown that the permutation factor graph is an effective method to improve the performance of belief propagation (BP) decoding. The research of belief propagation list (BPL) algorithm based on permutation factor graph has also made great progress, but the complexity of decoding process is still too high. In order to compromise performance and complexity, in this work, we focus on the iterative convergence of BPL decoding algorithm, and propose an early termination BPL algorithm based on multiple CRCs. The results show that the improved BPL decoding scheme can provide higher throughput and achieve similar decoding performance with the existing BPL decoding under the same simulation condition.