Abstract:Liner programming (LP) decoding model based on alternating direction method of multipliers (ADMM) has attracted much attention of decoding researchers because of its advantages of no error floor and maximum likelihood authentication. At present, most ADMM algorithms adopted the flooding scheduling, which has the problem of slow convergence rate of decoding. The alternating direction method of multipliers (ADMM) decoding for LDPC codes based on horizontal layered can speed up the decoding convergence rate. However, the projection algorithm used in the horizontal layered scheduling algorithm is accurate projection algorithm, which has a high computation. To solve this problem, the approximate projection algorithm was combined with the horizontal layered algorithm, and the horizontal layered scheduling of ADMM based on approximate projection was proposed to improve the decoding performance. Experimental simulation results show that, compared with other algorithms, the decoding performance of the proposed algorithm is improved by 0.1~0.3dB, the number of iterations is reduced by about 19%~40%, and the average decoding time is saved by about 21%~65%.