基于红外信标和环形拓扑红外接收机的静态三角定位系统的仪器误差分析

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Maciej Ciãżkowski
{"title":"基于红外信标和环形拓扑红外接收机的静态三角定位系统的仪器误差分析","authors":"Maciej Ciãżkowski","doi":"10.1109/JSEN.2025.3595219","DOIUrl":null,"url":null,"abstract":"Cooperative autonomous mobile robots (AMRs) in Industry 4.0 require precise navigation systems, especially indoors, where global navigation satellite system (GNSS) fails. To achieve these goals, variants of local navigation systems are being developed where localization is based on geometric measurements in a beacon–receiver system. Triangulation systems, based on angle measurements, are distinguished by the fact that, in addition to determining position, they allow precise determination of an object’s orientation, which is crucial for autonomous navigation of mobile robots. This article presents the concept of a triangulation positioning system that is completely static, i.e., it does not contain moving, rotating, or measuring elements, making it more durable, fast, and reliable. The proposed system uses an array of photodiodes evenly distributed on the receiver disk for simultaneous measurement of bearing angles to infrared beacons. A detailed mathematical model of the system is developed and enhanced by experimentally obtained photodiode sensitivity characteristics and analog-to-digital converter (ADC) noise data, and a comprehensive numerical–analytical analysis of all major instrumental error sources is performed. The results confirm that the proposed system achieves positioning performance comparable to state-of-the-art local positioning methods and can be an attractive solution for indoor navigation applications where commonly used satellite systems fail.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"34778-34792"},"PeriodicalIF":4.3000,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Instrumental Error Analysis of a Static Triangulation Positioning System Using Infrared Beacons and a Ring-Topology Infrared Receiver\",\"authors\":\"Maciej Ciãżkowski\",\"doi\":\"10.1109/JSEN.2025.3595219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cooperative autonomous mobile robots (AMRs) in Industry 4.0 require precise navigation systems, especially indoors, where global navigation satellite system (GNSS) fails. To achieve these goals, variants of local navigation systems are being developed where localization is based on geometric measurements in a beacon–receiver system. Triangulation systems, based on angle measurements, are distinguished by the fact that, in addition to determining position, they allow precise determination of an object’s orientation, which is crucial for autonomous navigation of mobile robots. This article presents the concept of a triangulation positioning system that is completely static, i.e., it does not contain moving, rotating, or measuring elements, making it more durable, fast, and reliable. The proposed system uses an array of photodiodes evenly distributed on the receiver disk for simultaneous measurement of bearing angles to infrared beacons. A detailed mathematical model of the system is developed and enhanced by experimentally obtained photodiode sensitivity characteristics and analog-to-digital converter (ADC) noise data, and a comprehensive numerical–analytical analysis of all major instrumental error sources is performed. The results confirm that the proposed system achieves positioning performance comparable to state-of-the-art local positioning methods and can be an attractive solution for indoor navigation applications where commonly used satellite systems fail.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 18\",\"pages\":\"34778-34792\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11121563/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/11121563/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

工业4.0中的协作式自主移动机器人(amr)需要精确的导航系统,特别是在全球导航卫星系统(GNSS)失效的室内。为了实现这些目标,正在开发各种本地导航系统,其中定位是基于信标接收器系统中的几何测量。基于角度测量的三角测量系统的特点在于,除了确定位置外,它们还可以精确确定物体的方向,这对移动机器人的自主导航至关重要。本文介绍了一个完全静态的三角定位系统的概念,即它不包含移动、旋转或测量元素,使其更加耐用、快速和可靠。该系统利用均匀分布在接收盘上的光电二极管阵列同时测量红外信标的方位角。通过实验获得的光电二极管灵敏度特性和模数转换器(ADC)噪声数据,建立了系统的详细数学模型,并对所有主要仪器误差源进行了全面的数值分析。结果证实,所提出的系统实现了与最先进的局部定位方法相当的定位性能,并且可以成为常用卫星系统失效的室内导航应用的有吸引力的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Instrumental Error Analysis of a Static Triangulation Positioning System Using Infrared Beacons and a Ring-Topology Infrared Receiver
Cooperative autonomous mobile robots (AMRs) in Industry 4.0 require precise navigation systems, especially indoors, where global navigation satellite system (GNSS) fails. To achieve these goals, variants of local navigation systems are being developed where localization is based on geometric measurements in a beacon–receiver system. Triangulation systems, based on angle measurements, are distinguished by the fact that, in addition to determining position, they allow precise determination of an object’s orientation, which is crucial for autonomous navigation of mobile robots. This article presents the concept of a triangulation positioning system that is completely static, i.e., it does not contain moving, rotating, or measuring elements, making it more durable, fast, and reliable. The proposed system uses an array of photodiodes evenly distributed on the receiver disk for simultaneous measurement of bearing angles to infrared beacons. A detailed mathematical model of the system is developed and enhanced by experimentally obtained photodiode sensitivity characteristics and analog-to-digital converter (ADC) noise data, and a comprehensive numerical–analytical analysis of all major instrumental error sources is performed. The results confirm that the proposed system achieves positioning performance comparable to state-of-the-art local positioning methods and can be an attractive solution for indoor navigation applications where commonly used satellite systems fail.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信