Study on the MAP-based decoding algorithm of turbo codes over the asymmetric channel

The asymmetric Z-channel is a discrete memoryless channel with one of the input symbols transmitted with noise. In this paper, based on the maximum a posterior probability (MAP) decoding algorithm, a novel decoding algorithm for the asymmetric Z-channel is proposed and the performance of turbo codes with the proposed algorithm is simulated. The simulation results show that the proposed turbo decoding algorithm can achieve excellent bit error rate performance over the asymmetric Z-channel.