（北京理工大学，中国 北京 100081）
Channels Estimation for mmWave Communications under High-Speed Mobility
ZUO Shiyuan, FAN Rongfei
(Beijing Institute of Technology, Beijing 100081, China)
Abstract: Accurate and timely channel estimation plays an important role in realizing high-throughput millimeter wave communication in high-speed train application scenarios. However, due to the high-speed movement of trains, the channel conditions change rapidly, and frequent measurements will bring huge overhead. Aiming at the above problems, based on the characteristics of frequent continuous changes and occasional sudden changes in the channel of the angle of arrival (AoA) and the angle of departure (AoD) between the train and the base station, the AoA and AoD continuous changes tracking and sudden changes detection algorithms are designed. When the AoA and AoD changes are in line with expectations, some parameters of the channel are measured based on the angle prior information, and when the AoA and AoD change suddenly, they will be alerted and notified to remeasure the overall channel parameters. The transceiver beamforming algorithm is designed to improve the performance of the tracking of AoA and AoD continuous changes and the detection of sudden changes. Through the hybrid scheme in this paper, the overhead of millimeter wave channel estimation signaling can be effectively reduced under high-speed mobile conditions.
Keywords: high-speed train; millimeter wave; channel estimation