Abstract: A dynamic channel information-weighted based decoding algorithm for non-binary low density parity check (LDPC) codes is proposed, which can dynamically weight the decoding reliability according to channel information. Firstly, the complicated real-number multiplication operation in reliablity factors is replaced by an additive operation, thus can reduce the computational complexity. Secondly, the reliability objective function is redesigned based on the initial channel information, which can enhance the stability of the iterative decoding information and boost decoding performance. Furthermore, a weighted coefficient is introduced, which can be dynamically changed with respect to the signal-to-noise ratio. The reliability information can be dynamically revised and updated in the decoding iterations to improve the decoding performance. Simulation results show that the proposed algorithm outperforms the recently presented adaptive single / multiple distance symbol flipping decoding algorithm with prediction.

Key words:  low density parity check code , symbol flipping, channel, dynamic weight