To address the problems of poor adaptability, high computational complexity and low operational efficiency of Massive MIMO detection algorithm on reconfigurable array structure in Massive MIMO system, a parallelization method of Massive MIMO detection algorithm based on reconfigurable array processor is proposed. Firstly, the performance of Massive MIMO detection algorithm is compared to analyze the complexity, BER and parallelism of the algorithm. Secondly, the parallelization scheme of Newton iteration method and Jacobi iteration method is designed by combining the characteristics of array structure. Finally, the parallel components of the algorithms are extracted, and the two algorithms are mapped on the reconfigurable array processor respectively, and simulations are performed for verification and comparative analysis of the results. The experimental results show that the parallelized Newton iterative method and Jacobi iterative method designed in this paper achieve speedup ratios of 6.08 and 8.24, respectively, to reduce the execution time of the algorithms while guaranteeing the same bit-error performance. The throughput ratios are 34.4 Mbps and 76.8 Mbps, respectively, which improve the detection rate at the receiver side of the system.Keywords- Massive MIMO detection algorithm; Newton iteration method; Jacobi iteration method; Parallelization; Array Structure