无线日盲紫外光测距定位方法

赵太飞; 余叙叙; 包鹤; 宋鹏

doi:10.3788/OPE.20172509.2324

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无线日盲紫外光测距定位方法

现代应用光学 | 更新时间：2020-08-13

- 无线日盲紫外光测距定位方法
- Ranging and positioning method using wireless solar blind ultraviolet
- 光学精密工程 2017年25卷第9期页码：2324-2332
- 作者机构：
  
  1.西安理工大学自动化与信息工程学院, 陕西西安 710048
  2.陕西省复杂系统控制与智能信息处理重点实验室(西安理工大学), 陕西西安 710048
- 作者简介：
  
  [ "赵太飞(1978-), 男, 河南浚县人, 博士, 教授, 2007年于成都电子科技大学获得博士学位, 2008—2010年完成西安理工大学电子科学与技术博士后流动站工作, 主要从事紫外光通信技术、路由技术、网络抗毁性技术、物联网技术等方面的研究.E-mail:zhaotaifei@163.com" ]
  [ "余叙叙(1991-), 男, 河南信阳人, 硕士研究生, 2015年于西安理工大学获得学士学位, 主要从事紫外光通信技术、物联网技术的研究.E-mail:yxx@xaut.edu.cn" ]
- 基金信息：
  
  国家自然科学基金-中国民航局民航联合研究基金(U1433110);西安市碑林区科技计划项目(GX1617);陕西省教育厅产业化培育项目(2013JC09);陕西省复杂系统控制与智能信息处理重点实验室（西安理工大学）开放课题基金资助项目(2016CP05)
- DOI：10.3788/OPE.20172509.2324
  中图分类号： TN23
- 收稿日期：2017-05-18，
  
  录用日期：2017-6-15，
  
  纸质出版日期：2017-09-25
- 稿件说明：
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赵太飞, 余叙叙, 包鹤, 等. 无线日盲紫外光测距定位方法[J]. 光学精密工程, 2017,25(9):2324-2332.

Tai-fei ZHAO, Xu-xu YU, He BAO, et al. Ranging and positioning method using wireless solar blind ultraviolet[J]. Optics and precision engineering, 2017, 25(9): 2324-2332.
赵太飞, 余叙叙, 包鹤, 等. 无线日盲紫外光测距定位方法[J]. 光学精密工程, 2017,25(9):2324-2332. DOI： 10.3788/OPE.20172509.2324.

Tai-fei ZHAO, Xu-xu YU, He BAO, et al. Ranging and positioning method using wireless solar blind ultraviolet[J]. Optics and precision engineering, 2017, 25(9): 2324-2332. DOI： 10.3788/OPE.20172509.2324.

摘要

在无人机的自主飞行及着陆引导中

测距与定位是其中的关键问题。本文提出了一种基于无线紫外光的测距定位方法

对无线紫外光直视通信模型和非直视通信模型进行了分析

推导出直视和非直视情况下的距离计算公式。根据四节点定位算法

可以解出未知节点的位置坐标。使用波长为255 nm的"日盲"紫外LED及光电倍增管作为收发器件

测距信号采用10 kHz的方波信号

在不同天气情况下进行测距实验。实验结果表明：在直视情况下

被测距离真值为0~100 m的测距误差均小于5 m；在非直视情况下

由于多径散射的影响

有效测距距离降为0~70 m。当发送仰角和接收仰角均小于10°时

测距误差较小

均小于5 m

当发送仰角和接收仰角均大于10°时

随着发送仰角和接收仰角的增大

有效测距距离明显降低。总的来说

该算法有着较高的精度

在GPS无法正常使用时能够为无人机提供导航数据

基本能够满足自主降落和飞行引导的要求。

Abstract

In order to solve the problem of positioning in UAV flight and landing guidance scene

this paper presented a ranging and positioning method based on wireless ultraviolet lights. The method analyzed communication models of wireless ultraviolet Line of Sight(LOS) and Non-Line-of-Sight(NLOS)

thus deriving the distance algorithm for LOS and NLOS communications. The location coordinates of unknown nodes were solved by the four node localization algorithm. Using a 255 nm UV LED as the light source

a PMT as the receiving device and a 10 kHz square wave signal as the ranging signal

ranging experiments under different weather conditions were performed. The experimental results indicate that the ranging error is less than 5 m in LOS communication with the ranging distance of 0~100 m. In NLOS communication

the effective ranging distance is reduced to 0~70 m due to the influence of multipath scattering. When the transmitting elevation and receiving elevation is less than 10°

the ranging error is less than 5 m

otherwise the effective distance decreased significantly with the increase of transmitting and receiving elevations. In general

the algorithm can provide navigation data for unmanned aerial vehicles with a high accuracy when the GPS cannot work normally

thus can meet the requirements of autonomous landing and flight guidance.

关键词

Keywords

references

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