关键词: 大规模多输入多输出（MIMO）系统, 导频污染, 奇异值分解（SVD）算法, 迭代最小二乘投影（ILSP）算法

Abstract: In view of the pilot contamination problems in Massive MIMO systems, together with the present study of ?SVD-based channel estimation algorithm, because the covariance matrix is made of the finite sample data rather than real data, it is a deviation here. Thus, joint SVD-based method and Iterative Least Square with Projection（ILSP） algorithm is introduced. Simulation results indicate that the proposed method can effectively reduce the deviation?and improve the channel estimation accuracy, and it can effectively mitigate the effect of pilot contamination, so as to realize the purpose of Massive MIMO system performance improvement.

Key words: massive Multiple-Input Multiple-Output（MIMO） systems, pilot contamination, Singular?Value?Decomposition（SVD） algorithm, Iterative Least Square with Projection（ILSP） algorithm