基于混合波束赋形的毫米波大规模MIMO信道估计

Hybrid Beamforming Based Millimeter Wave Massive MIMO Channel Estimation

毫米波大规模多输入多输出系统依赖于准确的信道状态信息,然而毫米波的高频率使得用于信道估计的时间变短,以往单独利用其波束域的稀疏性或天线域的低秩特性的高复杂度估计算法不再可行。因此提出了一种新的估计算法,该算法结合了稀疏和低秩两种特性,将信道估计看作矩阵完备问题,利用基于增广拉格朗日交替方向非精确牛顿法进行求解。经仿真验证,该算法具有更快的收敛速度和更高的准确度。

The millimeter wave massive multiple input multiple output(MIMO)system relies on accurate channel state information.However,the high frequency of the millimeter wave shortens the time slot for channel estimation,so the previous high complexity estimation algorithms that use either the sparsity in the beam domain or the low rank property in the antenna domain alone were no longer feasible.Therefore,this paper proposes a new estimation algorithm,which combines the sparsity and low rank property.The channel estimation is regarded as a matrix complete problem.The inexact Newton method based on Augmented Lagrange alternating direction is used to solve the problem.The simulation result shows that the proposed algorithm has faster convergence speed and higher accuracy than other algorithms.