Joint estimation and decoding algorithm for LDPC code in different impulsive noise channel

This paper presents a joint estimation and decoding algorithm for decoding over different impulsive noise in practical use, as the state of most impulsive noise changes rapidly in the wireless networks and cause performance degradation of low-density parity-check (LDPC) code decoding. The proposed algorithm fully utilizes the posteriori probability information of the decoding algorithm to strengthen estimation instead of regarding as the probability of input as equal probability. First, we derive the simplified objective of estimation expression. Then we designed the whole process of algorithm, which combines the estimator and decoder in an iterative manner. The simulation results show that the decoding performance of the proposed decoder can reach nearly known real noise parameters decoder within 0.1dB. Comparing with previous decoders, the proposed decoder has lower bit error rate (BER).