Ultra Wideband Indoor Positioning System based on Artificial Intelligence Techniques

2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science : IRI 2020 : proceedings : virtual conference, 11-13 August 2020. IEEE International Conference on Information Reuse and Integration (21st : 2... Pub Date : 2020-08-01 DOI:10.1109/IRI49571.2020.00073

Long Cheng, Zhaoqi Wu, Bo-Ya Lai, Qiang Yang, Anguo Zhao, Yuanting Wang

{"title":"Ultra Wideband Indoor Positioning System based on Artificial Intelligence Techniques","authors":"Long Cheng, Zhaoqi Wu, Bo-Ya Lai, Qiang Yang, Anguo Zhao, Yuanting Wang","doi":"10.1109/IRI49571.2020.00073","DOIUrl":null,"url":null,"abstract":"High-precision indoor positioning has nowadays emerged as a critical function for many applications. However, many existing indoor positioning systems either fail to achieve a high positioning accuracy or are very easily affected by indoor environments composed of many obstacles, preventing them from satisfying many application requirements. Ultra wideband (UWB) has recently drawn extensive attention in the field of indoor positioning due to its great ability to achieve high ranging and localization accuracy while minimizing the effect of multipath interference. Meanwhile, advanced artificial intelligence and signal processing techniques have been explored to improve the precision and performance of indoor positioning system. In this paper, a high-precision UWB indoor positioning system integrating artificial intelligence and signal processing techniques is designed. And field tests are also conducted to validate the design of the system.","PeriodicalId":93159,"journal":{"name":"2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science : IRI 2020 : proceedings : virtual conference, 11-13 August 2020. IEEE International Conference on Information Reuse and Integration (21st : 2...","volume":"22 1","pages":"438-444"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science : IRI 2020 : proceedings : virtual conference, 11-13 August 2020. IEEE International Conference on Information Reuse and Integration (21st : 2...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRI49571.2020.00073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

Abstract

High-precision indoor positioning has nowadays emerged as a critical function for many applications. However, many existing indoor positioning systems either fail to achieve a high positioning accuracy or are very easily affected by indoor environments composed of many obstacles, preventing them from satisfying many application requirements. Ultra wideband (UWB) has recently drawn extensive attention in the field of indoor positioning due to its great ability to achieve high ranging and localization accuracy while minimizing the effect of multipath interference. Meanwhile, advanced artificial intelligence and signal processing techniques have been explored to improve the precision and performance of indoor positioning system. In this paper, a high-precision UWB indoor positioning system integrating artificial intelligence and signal processing techniques is designed. And field tests are also conducted to validate the design of the system.

查看原文本刊更多论文

基于人工智能技术的超宽带室内定位系统

如今，高精度室内定位已成为许多应用的关键功能。然而，现有的许多室内定位系统要么定位精度不高，要么容易受到室内环境障碍的影响，无法满足许多应用需求。超宽带(UWB)由于能够在最大限度地减少多径干扰的同时实现高测距和定位精度，近年来在室内定位领域受到了广泛的关注。同时，探索了先进的人工智能和信号处理技术，以提高室内定位系统的精度和性能。本文设计了一种集人工智能和信号处理技术于一体的高精度超宽带室内定位系统。并进行了现场试验，验证了系统的设计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science : IRI 2020 : proceedings : virtual conference, 11-13 August 2020. IEEE International Conference on Information Reuse and Integration (21st : 2...

自引率

0.00%

发文量