计算机科学
波束赋形
基站
同步(交流)
频道(广播)
光学(聚焦)
群体行为
实时计算
补偿(心理学)
电信
人工智能
精神分析
心理学
光学
物理
作者
Lu Yin,Jun Fang,Zhong Guo,Andrew Zhang
出处
期刊:China Communications
[Institute of Electrical and Electronics Engineers]
日期:2019-02-04
卷期号:16 (1): 15-25
被引量:1
标识
DOI:10.12676/j.cc.2019.01.002
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI