基于矩阵感知的毫米波MIMO系统信道估计方法

A Matrix Sensing-based Channel Estimation Method for Millimeter Wave MIMO Systems

在使用混合波束形成的毫米波大规模多输入多输出系统中,射频链路少于天线数,信道估计非常具有挑战性。当天线阵列缺陷导致未知相位和增益误差时,压缩感知信道估计器的性能会下降。为提高系统鲁棒性,提出了一种新型的基于矩阵感知的信道估计方案。该方案利用毫米波信道的低秩特性,采用凸函数差框架设计信道估计器。理论分析及仿真结果证明,所提方案不受阵列相位和增益误差的影响,与压缩感知方案比较增强了系统的鲁棒性,可获得比矩阵补全方案更好的估计性能。

Channel estimation for millimeter wave(mmWave)massive multiple-input mutiple-output(MIMO)systems with hybrid beamforming is challenging because the number of radio frequency(RF)chains is smaller than the number of antennas.The performance of compressive sensing-based algorithms degrades when the antenna arrays suffer from unknown phase and gain errors caused by array-inherent impairment.In order to improve the robustness,a matrix sensing-based channel estimation scheme is proposed.The low-rank nature of mmWave channels is exploited and the difference of convex functions(DC)framework is applied to design the channel estimator.The analysis and numerical results demonstrate that the proposed scheme is immune to the phase and gain errors,more robust than the compressive sensing-based estimators,and can achieve higher estimation accuracy compared with matrix completion-based estimators.