A thresholding algorithm for improved split-row decoding method of irregular LDPC codes

In this paper, we propose a thresholding algorithm to improve Split-Row decoding method of irregular LDPC codes, with maintaining the same level of complexity. We present in this paper a full description of this method and its benefits for various row weight and length code word. In this context, we have performed an implementation on MATLAB of an irregular LDPC codes with different code word and code rate. Simulation results over an additive white Gaussian channel show that the error performance of high row-weight codes with thresholding algorithm is within 0.1–0.2 dB of the normalized Min-Sum algorithm. The study result shows that the thresholding algorithm outperforms original Split Row of irregular codes.