Optimization of SNGDBF Decoding for LDPC Codes Parameters Based on Taguchi Method

The aim of this paper is to present the Taguchi optimization method in order to select the optimal parameters of Single Noisy Gradient descent bit flipping (SNGDBF). In this algorithm, three factors are evaluated: ɳ, iteration numbers, and frame. For this purpose, each of these factors is given three levels, and an orthogonal array table is generated; moreover, the signal-to-noise ratio is computed. This methodology applied to the SNGDBF shows that the number of iterations is a significant factor, in regard to frame and ɳ, which are insignificant factors until 4 db. However, around 5 db frame becomes more significant. This study also shows that the optimal parameters give good results compared to previous works in this area. Finally, Taguchi method is suitable to prove the decision made when it is related to select parameters of all decoding low density parity check (LDPC) algorithms.