复旦大学数字信号处理与传输实验室的刘凯同学的论文上行3D-MIMO中利用结构稀疏低秩特性的信道估计算法，被2017电子与信息学报录用。

论文摘要：Three Dimension Multi-Input Multi-Output (3D-MIMO) systems can effectively improve frequency efficiency and system capacity. However, with the growing number of antennas and users, pilot sequences are non- orthogonal, which will affect the accuracy of 3D-MIMO channel estimation and increase complexity. In this paper, the structured sparseness and low rank property of 3D-MIMO channel are studied. By taking advantage of these properties, a channel estimation algorithm is proposed, and the convergence and complexity of the algorithm are analyzed. Simulation results verify that the proposed algorithm can accurately recover 3D-MIMO channel with low complexity.

论文作者：Kai Liu, Hui Feng, Tao Yang, Bo Hu