A Layered Improved Multi-Parameter Compensated Min-Sum Decoding Algorithm for LDPC Codes

In modern communication technology, low-density parity-check codes (LDPC) are widely used as an extremely important channel coding method, and it has significant performance advantages when dealing with long codes. However, the complexity of LDPC decoding algorithms is high. In response to this phenomenon, based on MCMS decoding algorithm, this paper proposes an Improved Multi-parameter Compensated MinSum (IMCMS) decoding algorithm. This algorithm adds a threshold near zero at the minimum value and chooses a locally optimal algorithm when the minimum value is less than the threshold to avoid the zero return loss of MCMS decoding algorithm. On this basis, a layered scheduling strategy is applied to propose a Layered Improved Multi-parameter Compensated Min-Sum (LIMCMS) decoding algorithm. Simulation results show that the decoding algorithm proposed in this paper not only effectively improves bit error performance but also maintains low computational complexity and significantly accelerates the convergence speed of decoding in academic papers.