[1]许 万,涂 拓,胡天宇,等.基于超宽带技术的室内无线定位系统设计[J].湖北工业大学学报,2020,(5):1-7.
 XU Wan,TU Tuo,HU Tianyu,et al.Design of Indoor Wireless Positioning System Based on UWB[J].,2020,(5):1-7.
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基于超宽带技术的室内无线定位系统设计()
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《湖北工业大学学报》[ISSN:1003-4684/CN:42-1752/Z]

卷:
期数:
2020年第5期
页码:
1-7
栏目:
湖北工业大学学报
出版日期:
2020-10-28

文章信息/Info

Title:
Design of Indoor Wireless Positioning System Based on UWB
文章编号:
1003-4684(2020)05-0001-07
作者:
许 万 涂 拓 胡天宇 胡新宇
湖北工业大学机械工程学院, 湖北 武汉 430068
Author(s):
XU Wan TU Tuo HU Tianyu HU Xinyu
School of Mechanical Engin., Hubei Univ. of Tech., Wuhan 430068, China
关键词:
室内定位 超宽带质心算法定位误差
Keywords:
Indoor positioning UWB centroid algorithm positioning error
分类号:
P228.4
文献标志码:
A
摘要:
针对室内无线定位存在的动态性强、传输距离短、抗多径效应差、定位精度差、室内环境复杂等问题,通过超宽带信号在基站和标签之间的飞行时间测得基站和标签的距离。将这个距离值上传给上位机,上位机再通过加权质心算法计算出标签位置坐标。分别进行静态和动态实验,分析定位系统在视距和非视距情况下的定位误差。实验结果表明:超宽带无线定位系统定位精度较高,在室内视距情况下可以高达10 cm左右;在非视距环境下,由于受到的干扰较大,定位精度在30 cm左右。
Abstract:
Aiming at the problems of strong dynamics, short transmission distance, poor anti-multipath effects, poor positioning accuracy, and complex indoor environment in indoor positioning, a wireless positioning system based on ultra wideband (UWB) was designed. The time of flight between the tags was used to measure the distance between the base station and the tag, and this distance value was uploaded to the host computer. The host computer calculated the tag position coordinates through a weighted centroid algorithm. Static and dynamic experiments were performed in an indoor environment to analyze the positioning error of the positioning system in line-of-sight and non-line-of-sight situations. The experimental results show that the positioning accuracy of the UWB wireless positioning system is high, which can be as high as about 10cm in the case of indoor line-of-sight, and in the non-line-of-sight environment, the positioning accuracy is about 30cm due to the large interference.

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备注/Memo

备注/Memo:
[收稿日期] 2020-02-24
[基金项目] 国家自然科学基金(61976083); 绿色工业科技引领计划(CPYF2018007)
[第一作者] 许 万(1979-), 男, 湖北武汉人,湖北工业大学教授,研究方向为移动机器人,多轴运动控制
更新日期/Last Update: 2020-10-22