Air-to-ground 3D channel modeling for UAV based on Gauss-Markov mobile model

被引：19

作者：

Li, Yapu ^{[1
]}

Wang, Weimin ^{[1
]}

Gao, Huaqiang ^{[1
]}

Wu, Yongle ^{[1
]}

Su, Ming ^{[1
]}

Wang, Jingchao ^{[2
]}

Liu, Yuanan ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing Key Lab Work Safety Intelligent Monitorin, Beijing 100876, Peoples R China

[2] Beijing Univ Posts & Telecommun, Beijing 100876, Peoples R China

来源：

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS | 2020年 / 114卷

关键词：

Air-to-ground; Gauss-Markov mobile model; Geometry-based stochastic model; Time correlation; Unmanned aerial vehicle; ANTENNA;

D O I：

10.1016/j.aeue.2019.152995

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：

Air-to-ground (A2G) communication has been attracted great attention due to the gradual popularization of unmanned aerial vehicle (UAV). In this paper, a 3D geometry-based stochastic model (GBSM) for A2G channels is proposed. Meanwhile, the Gauss-Markov mobile model is adopted to generate dynamic trajectories. According to different scattering environments, we establish a reference model and a statistical simulation model for A2G channels, and derive their respective time correlation functions. In particular. the purpose of establishing the statistical simulation model is to reduce complexity, and we verify the consistency of the two models. Then, we analyze the dynamic motion scenarios generated by Gauss-Markov process, and their effects on A2G channel correlation. Finally, the good conformities of time correlation curves with the existing measurement data and sphere model verify the reliability of our proposed models. (C) 2019 Elsevier GmbH. All rights reserved.

引用

页数：7

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