吉林大学学报(信息科学版) ›› 2022, Vol. 40 ›› Issue (2): 150-158.

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拒止场景下单无人机目标节点定位方案

董子贤, 宁 帆   

  1. 北京邮电大学 信息与通信工程学院, 北京 100876
  • 收稿日期:2021-12-07 出版日期:2022-06-11 发布日期:2022-06-11
  • 作者简介:董子贤(1997— ), 男, 吉林四平人, 北京邮电大学硕士研究生, 主要从事无线通信及无人机自组网研究, ( Tel) 86- 17644029284(E-mail)953163146@ qq. com; 宁帆(1962— ), 女, 长春人, 北京邮电大学副教授, 硕士生导师, 主要从事无线通信自组织网络研究, (Tel)86鄄18911191166(E鄄mail)18911191166@ 163. com.

Target Positioning Scheme Using Single UAV in Rejection Scene

DONG Zixian, NING Fan   

  1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2021-12-07 Online:2022-06-11 Published:2022-06-11

摘要: 针对地震、 海啸等自然灾害发生时, 地面基站受损或卫星信号受干扰而无法提供准确的位置信息, 对 救灾搜索和灾后重建都造成了很大的阻碍的问题, 提出了一种 GNSS(Global Navigation Satellite System) 拒止 场景下目标节点无线定位方案。 该方案选用救援车作为参考节点, 使用单无人机围绕以参考点为圆心的固定 轨迹进行多点无线测距, 利用无人机的移动性, 将传统的多无人机悬浮测距过程改为单无人机移动多点测距, 有效解决了多无人机资源浪费、 时钟精确同步难以实现、 系统复杂度高等问题。 在测距过程中, 提出了一种 基于加权的双向测距方法(W-TWR: Weighted-Two Way Ranging), 该方法可以有效减小测距过程中的双向信道 误差和时钟偏移误差, 最后利用最小二乘法对多组测距信息进行解算, 获得目标节点到救援车的相对位置 信息。 仿真和实验结果表明, 该定位方式合理, 其性能优于传统方法。

关键词: 单无人机; , 加权双向测距(W-TWR), 无线定位; , 最小二乘法

Abstract: When natural disasters such as earthquake and tsunami occur. Base stations on the ground are damaged or satellite signals are interfered, which makes it impossible to provide accurate location information, greatly hinders disaster relief search and post-disaster reconstruction. To solve this problem, a wireless localization scheme for target nodes in the GNSS ( Global Navigation Satellite System) rejection scenario is proposed. In this scheme, the rescue vehicle is selected as the reference node, so that the single UAV (Unmanned Aerial Vehicle) can carry out multi-point wireless ranging around a fixed trajectory centered on the reference point. By using the mobility of the UAV, the traditional multi-UAV floating ranging process is changed to single UAV moving multi-point ranging, which effectively solves the problems of resource waste, difficult clock synchronization and high system complexity. In the ranging process, a two-way ranging method based on weighting is proposed, which can effectively reduce the two-way channel error and clock offset error. Finally, the least square method is used to solve multiple groups of ranging information to obtain the relative position information from the target node to the rescue vehicle. Simulation and experimental results show that the positioning method proposed is reasonable and superior to traditional methods in performance.

Key words: single unmanned aerial vehicle(UAV); , weighted two-way ranging(W-TWR); , wireless positioning;  least square(LS) method

中图分类号: 

  • TN925