3D Parametric Channel Estimation for Multi-User Massive-MIMO OFDM Systems

被引：4
|
作者：
Liang, Junhui [1 ]
He, Jin [1 ]
Yu, Wenxian [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai, Peoples R China
来源：
2020 IEEE 11TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM) | 2020年
关键词：
ESPRIT; multi-user; 3D massive-MIMO; OFDM; channel estimation; angle and delay estimation;
D O I：
10.1109/sam48682.2020.9104326
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we study the problem of parametric channel estimation for multi-user 3D millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Modeling the channel by a finite number of multipath rays, we propose a new method to jointly estimate the elevation-azimuth angle and path delay parameters for a desired user. In the proposed method, a new version of subcarrier smoothing (SCS) is developed to construct a full rank correlation matrix. Then the 3D parameters are estimated by using the ESPRIT algorithm. Finally, simulation results are finally presented to verify the efficacy of the proposed algorithm.
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页数：5
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