{"title":"Mathematical underpinnings of crowdsource GPS jammer geolocation using signal strength readings from various locations","authors":"Barry R. Secrest, D. Richie, B. Rapp","doi":"10.1109/ICL-GNSS.2017.8376243","DOIUrl":null,"url":null,"abstract":"Can we geolocate a GPS jammer using only smartphones located in the area? We present two mathematical approaches to solution and introduce a likelihood mapping. We validate these two approaches with a pedantic example, then contrast these two approaches by sensitivity analysis based on the example. Although our approach to solution is valid, we conclude from these experiments that real-world conditions inject too much error to make a direct mathematical solution of practical use. Future efforts center on real-world conditions and using a likelihood mapping.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Localization and GNSS (ICL-GNSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICL-GNSS.2017.8376243","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
Can we geolocate a GPS jammer using only smartphones located in the area? We present two mathematical approaches to solution and introduce a likelihood mapping. We validate these two approaches with a pedantic example, then contrast these two approaches by sensitivity analysis based on the example. Although our approach to solution is valid, we conclude from these experiments that real-world conditions inject too much error to make a direct mathematical solution of practical use. Future efforts center on real-world conditions and using a likelihood mapping.