Iterative decoding of binary block and convolutional codes
IEEE Transactions on Information Theory
Reliability-Based Soft-Decision Decoding With Multiple Biases
IEEE Transactions on Information Theory
Soft-decision decoding of linear block codes based on ordered statistics
IEEE Transactions on Information Theory
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For linear block codes without a sparse graph representation, there exists an iterative decoding algorithm which combines the traditional reliability-based decoding (RBD) with adaptive belief propagation (ABP) to achieve a good trade-off between the error performance and decoding complexity. However, in the original design of the iterative scheme, only a one-way flow of soft-information from the ABP-part to the RBD-part is available, hence limiting the performance of iterative processing. In this study, several low-complexity schemes are presented for the RBD-part to produce desirable soft-outputs such that decoded results can be bilaterally exchanged between both of the RBD and ABP parts. Simulation results also verify the superiority of the proposed idea over the conventional design.