SPATIAL REWEIGHTED BASED SUPER-RESOLUTION CHANNEL ESTIMATION FOR MMWAVE MASSIVE MIMO WITH HYBRID PRECODING

Channel estimation is difficult for millimeter-wave (mm-wave) massive MIMO with hybrid precoding because the number of radio frequency (RF) chains is much smaller than that of antennas. Traditional compression detection-based channel estimation methods suffer from severe resolution loss due to channel angle quantification Super-resolution based on the Spatial Durbin Model (SDM) is used to improve the accuracy of channel estimation. Optimizing the function of the lens by reducing tilt - method, the proposed scheme can iteratively change the estimated angle of arrival/departure (AoAs/AoD) to optimal solutions and finally to implement super-resolution channel estimation. Optimizing a the weight parameter is used to control the trade-off between sparsity and data error. In addition, Preprocessing based on the Spatial Durbin Model (SDM) is developed to reduce the computational complexity of the system. proposed system.