Jian Ling, Lei Wang, Hong Ji, Hu Xie, Junfeng Ding, Qiejun Dai
{"title":"UWB-Based Real-Time Continuous Positioning System in NLOS Tunnel Environment","authors":"Jian Ling, Lei Wang, Hong Ji, Hu Xie, Junfeng Ding, Qiejun Dai","doi":"10.1109/CYBERC.2018.00037","DOIUrl":null,"url":null,"abstract":"In engineering applications, related application of personnel location has become more and more popular. The global positioning system (GPS) is a classic system to locate people, vehicles and other objects. However the GPS signal cannot be received in closed space, so the localization can only be conducted through indoor positioning technologies. In this paper, we focus on the continuous positioning of people and vehicles in the tunnels. The ultra-wide-band (UWB) positioning technology is adopted, and we proposed a methods to remove the outliers to reduce the impact of NLOS transmissions. Moreover, we designed a continuous positioning algorithm based on prediction to increase the accuracy of positioning during the movement. Finally, an experimental platform was built, and the proposed scheme was evaluated. The experimental results show that the optimized algorithm can provide higher positioning accuracy and frequency than the traditional method.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERC.2018.00037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In engineering applications, related application of personnel location has become more and more popular. The global positioning system (GPS) is a classic system to locate people, vehicles and other objects. However the GPS signal cannot be received in closed space, so the localization can only be conducted through indoor positioning technologies. In this paper, we focus on the continuous positioning of people and vehicles in the tunnels. The ultra-wide-band (UWB) positioning technology is adopted, and we proposed a methods to remove the outliers to reduce the impact of NLOS transmissions. Moreover, we designed a continuous positioning algorithm based on prediction to increase the accuracy of positioning during the movement. Finally, an experimental platform was built, and the proposed scheme was evaluated. The experimental results show that the optimized algorithm can provide higher positioning accuracy and frequency than the traditional method.