基于联合波束赋形的无人机辅助通信网络上行传输技术

许方敏; 史文策; 冯涛; 陶艺文; 赵成林

doi:10.11999/JEIT220024

基于联合波束赋形的无人机辅助通信网络上行传输技术

doi: 10.11999/JEIT220024

1.
北京邮电大学信息与通信工程学院北京 100876
2.
工业和信息化部中国机电设备招标中心北京 100142

基金项目: 国家自然科学基金(U1805262)

详细信息

作者简介:
许方敏：男，1982年生，博士，副教授，研究方向为无线移动通信技术、工业互联网关键技术及应用

史文策：女，1996年生，硕士生，研究方向为无线移动通信技术、无人机定位

冯涛：男，1983年生，工程师，研究方向为通信信号处理移动通信

陶艺文：男，1993年生，博士生，研究方向为通信信号处理

赵成林：男，1963年生，博士，教授，研究方向为无线通信技术、数字信号处理及其应用、工业互联网与智能制造

通讯作者:
陶艺文　taoyw@bupt.edu.cn

中图分类号: TN918
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- 被引次数: 0
出版历程
- 收稿日期: 2022-01-06
- 修回日期: 2022-02-25
- 录用日期: 2022-02-25
- 网络出版日期: 2022-02-28
- 刊出日期: 2022-03-28

UAV Assisted Communication Network Uplink Transmission Technology Based on Joint Beamforming

1.
Institute of Information and Communication, Beijing University of Posts and Telecommunications, Beijing 100876, China
2.
China Mechanical and Electrical Equipment Bidding Center, Ministry of Industry and Information Technology, Beijing 100142, China

Funds: The National Natural Science Foundation of China (U1805262)

摘要

摘要: 无人机辅助通信网络可以对现有无线通信网络进行补充，改善通信系统性能以及覆盖服务范围，但无人机辅助通信过程中上行传输通信速率的提高仍面临着巨大的挑战。针对如何提高无人机辅助通信网络的上行传输通信速率问题，该文提出了一种基于联合波束赋形的无人机辅助通信网络上行传输技术。首先，对用户节点接收信号强度值进行伯努利粒子滤波，结合无人机运动模型完成无人机定位，进一步用户节点联合运用分布式波束赋形算法向无人机方向发送信号，完成上行传输通信。并与非正交多址接入算法以及传统全向发射算法进行了对比，实验结果表明，所提方法显著提高了无人机接收信号的信噪比、通信速率，保障了无人机上行通信的通信质量，为未来无人机辅助通信网络的上行传输提供了一种极具潜力的保障通信性能解决方案。
- 无人机通信网络 /
- 上行传输 /
- 分布式波束赋形 /
- 伯努利粒子滤波 /
- 目标定位
Abstract: The UAV-assisted communication network can supplement the existing wireless communication network and improve the performance of the communication system and the coverage service range, but the improvement of the uplink transmission communication rate in the process of UAV-assisted communication still faces huge challenges. Aiming at how to improve the uplink transmission communication rate of UAV-assisted communication network, this paper proposes a UAV-assisted communication network uplink transmission technology based on joint beamforming. First, Bernoulli particle filtering is performed on the received signal strength value of the user node, combined with the UAV motion model to complete the UAV positioning, and further, the user node uses jointly the distributed beamforming algorithm to send signals to the UAV direction to complete the uplink transmission communication. Compared with the non-orthogonal multiple access algorithm and the traditional omnidirectional transmission algorithm, the experimental results show that the proposed method improves significantly the signal-to-noise ratio and communication rate of the UAV received signal, and ensures the uplink communication of the UAV. It provides a potential solution to guarantee the communication performance for the uplink transmission of the UAV-assisted communication network in the future.
- UAV-assisted communication /
- Uplink transmission /
- Distributed beamforming /
- Bernoulli particle filter /
- Target location

HTML全文

图 1 无人机网络上行通信图

下载: 全尺寸图片幻灯片

图 2 路径损耗与n值的关系

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图 3 无人机目标定位追踪图

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图 4 观测噪声与目标方位误差的关系

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图 5 用户节点RSSI值的预测校正

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图 6 无人机方向与其他空间方向信号增益对比图

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图 7 信道容量随用户节点发射功率变化图

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图 8 信道容量随用户节点数量变化图

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表 1 不同发射方式的信道容量(bps)随用户数量增加(倍)对比表

用户数量
1～20 21～40 41～60 61～80 81～100

与NOMA发射方式对比 1.36 1.65 1.76 1.84 1.89
与全向发射方式对比 1.95 2.54 2.78 2.93 3.05

下载: 导出CSV

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