Iterated Extended Kalman Filter Based Adaptive Beam Tracking for Millimeter-Wave Systems

被引:0
作者
Mo, Mo [1 ]
Liu, Chunshan [1 ]
Zhao, Lou [1 ]
Guo, Mangqing [1 ]
Li, Min [2 ]
Wang, Yida [3 ]
机构
[1] Hangzhou Dianzi Univ, Sch Commun Engn, Hangzhou 310018, Peoples R China
[2] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China
[3] Acad Mil Sci, Inst Syst Engn, Beijing 100080, Peoples R China
来源
2024 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC | 2024年
基金
中国国家自然科学基金;
关键词
Beam tracking; millimeter-wave communications; Iterated Extended Kalman Filter;
D O I
10.1109/ICCC62479.2024.10681923
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, an adaptive beam tracking algorithm based on the Iterated Extended Kalman Filter (AT-IEKF) is proposed for millimeter wave communications. To achieve a balance between the accuracy of beam tracking and the tracking overhead, AT-IEKF dynamically adjusts the time interval between two consecutive beam tracking updates based on the historical variations of the channel strength after beamforming. In each tracking update, AT-IEKF updates the beamforming directions by IEKF for high accuracy, where two probing beams are measured to track the beamforming direction at the base station or user equipment. The effectiveness of AT-IEKF is verified by numerical results obtained from ray-tracing experiments. The results show that AT-IEKF outperforms several state-of-the-art algorithms from the perspectives of beam tracking accuracy and tracking overhead.
引用
收藏
页数:6
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