【摘要】 为降低大规模MIMO信道估计的复杂度,提出一种基于Kapteyn级数展开的信道估计方法。通过Taylor级数把协方差逆矩阵展开,从而降低信道估计的复杂度。为提高Taylor-MMSE估计的收敛速度,采用Kapteyn级数对协方差矩阵进行展开。仿真结果表明,Kapteyn-MMSE估计的均方误差(MSE)收敛速度明显快于Taylor-MMSE,不足的是Kapteyn-MMSE复杂度略高于Taylor-MSME,但仍远小于经典MMSE算法。更多还原

【Abstract】 In order to reduce the complexity of the massive MIMO channel estimation, a channel estimation method based on Kapteyn series expansion was proposed. By using Taylor series to expand the inversion, the complexity was greatly reduced. In order to improve the Taylor-MMSE estimation of the convergence rate, Kapteyn series was used to expand covariance matrix. The simulation result shows that the mean square error of Kapteyn-MMSE estimation converges faster than Taylor-MSME. It is insufficient that the complexity of Kapteyn-MMSE slightly higher than the complexity of Taylor-MMSE, but still far less than the complexity of classical MMSE algorithm.更多还原