{"title":"Ph.D. Forum Abstract: Accurate and Robust Low-Cost GNSS Localization","authors":"Rueben A. Banalagay","doi":"10.1109/IPSN.2016.7460683","DOIUrl":null,"url":null,"abstract":"While the use of the Global Positioning System provides a natural choice for sensor network localization, the high-accuracy requirements of certain applications prevent the use of low-cost GPS hardware as part of their localization solution. Low cost GPS hardware provides poor accuracy when used in isolation, but the sharing of measurement data between a network of common GPS receivers provides an opportunity to mitigate errors and provide a sub-meter localization solution. The goal of this work is to develop such a system by creating robust techniques that are resilient to outliers and other error sources encountered in the real-world.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPSN.2016.7460683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
While the use of the Global Positioning System provides a natural choice for sensor network localization, the high-accuracy requirements of certain applications prevent the use of low-cost GPS hardware as part of their localization solution. Low cost GPS hardware provides poor accuracy when used in isolation, but the sharing of measurement data between a network of common GPS receivers provides an opportunity to mitigate errors and provide a sub-meter localization solution. The goal of this work is to develop such a system by creating robust techniques that are resilient to outliers and other error sources encountered in the real-world.