New Efficient Check Node Update Method for Improved Min-Sum LDPC Decoding

This paper has presented various min-sum related LDPC decoding algorithms and their typical hardware architectures of check node update in the scenario of parallel implementation. For one check node update of normalized min-sum algorithm, if the current row weight is d_c, d_c multiplications are needed. If d_c is large, d_c multiplications are needed, which leads to high complexity. In this article, one innovative method for check node update has been found, which can obviously reduce the number of multiplication operations for the normalized min-sum algorithm and the number of comparison/selection operations for the row weight matched min-sum algorithm of high rate LDPC codes. Simulations have claimed the performance of normalized min-sum and row weight matched min-sum is nearly the same as that of Log-BP, namely the optimal algorithm, which has shown that normalized min-sum and row weight matched min-sum are good choices for LDPC.