Reduced-complexity belief propagation decoding for low-density parity-check codes

A novel dual-min-sum decoding algorithm for low-density parity-check codes is proposed. The proposed algorithm simplifies the check-node updates and thus reduces the computational complexity of the belief propagation (BP) algorithm significantly. Simulation results show that the proposed algorithm can achieve an error performance very close to that of the BP algorithm.