Distributed Transmit Beamforming for UAV to Base Communications

被引:0
|
作者
Lu, Yin [1 ]
Fang, Jun [2 ]
Guo, Zhong [2 ]
Zhang, J. Andrew [3 ]
机构
[1] Nanjing Univ Posts & Telecommun, Jiangsu Prov Key Lab Wireless Commun, Nanjing 210023, Jiangsu, Peoples R China
[2] Wuxi Longi Intelligent Technol Co Ltd, Wuxi 214400, Peoples R China
[3] Univ Technol Sydney, Ultimo, NSW 2007, Australia
基金
中国国家自然科学基金;
关键词
unmanned aerial vehicle; distributed transmit beamforming; beamforming vector generation and updating; channel prediction; WIRELESS SENSOR NETWORKS;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Distributed transmit beamforming (DTB) is very efficient for extending the communication distance between a swarm of UAVs and the base, particularly when considering the constraints in weight and battery life for payloads on UAVs. In this paper, we review major function modules and potential solutions in realizing DTB in UAV systems, such as timing and carrier synchronization, phase drift tracking and compensation, and beamforming vector generation and updating. We then focus on beamforming vector generation and updating, and introduce a concatenated training scheme, together with a recursive channel estimation and updating algorithm. We also propose three approaches for tracking the variation of channels and updating the vectors. The effectiveness of these approaches is validated by simulation results.
引用
收藏
页码:15 / 25
页数:11
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