{"title":"复杂地下环境下基于wi - fi的定位","authors":"M. Cypriani, G. Delisle, N. Hakem","doi":"10.4304/jnw.10.3.141-151","DOIUrl":null,"url":null,"abstract":"Underground mining tunnels constitute a very particular environment for radio wave propagation – with characteristics of both indoor and outdoor “regular” environments. This paper shows how a general-purpose Wi- Fi-based indoor positioning system, OwlPS (Owl Positioning System) was adapted to work in that particular environment. A series of experiments, conducted in a formerly exploited gold mine at 70 metres below the surface, across about 400 metres of drifts, is then introduced; it primarily aims at determining the positioning accuracy that can be reached in such a context with a Wi-Fi-based positioning system using the signal strength at 2.4 GHz. The results obtained are improved with a filter, and the mean Euclidean distance error is under 10 metres in most cases when the terminal is carried by an operator; this makes OwlPS usable as is for asset management and emergency positioning of workers underground.","PeriodicalId":14643,"journal":{"name":"J. Networks","volume":"4 1","pages":"141-151"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Wi-Fi-based Positioning in a Complex Underground Environment\",\"authors\":\"M. Cypriani, G. Delisle, N. Hakem\",\"doi\":\"10.4304/jnw.10.3.141-151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Underground mining tunnels constitute a very particular environment for radio wave propagation – with characteristics of both indoor and outdoor “regular” environments. This paper shows how a general-purpose Wi- Fi-based indoor positioning system, OwlPS (Owl Positioning System) was adapted to work in that particular environment. A series of experiments, conducted in a formerly exploited gold mine at 70 metres below the surface, across about 400 metres of drifts, is then introduced; it primarily aims at determining the positioning accuracy that can be reached in such a context with a Wi-Fi-based positioning system using the signal strength at 2.4 GHz. The results obtained are improved with a filter, and the mean Euclidean distance error is under 10 metres in most cases when the terminal is carried by an operator; this makes OwlPS usable as is for asset management and emergency positioning of workers underground.\",\"PeriodicalId\":14643,\"journal\":{\"name\":\"J. Networks\",\"volume\":\"4 1\",\"pages\":\"141-151\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4304/jnw.10.3.141-151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4304/jnw.10.3.141-151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wi-Fi-based Positioning in a Complex Underground Environment
Underground mining tunnels constitute a very particular environment for radio wave propagation – with characteristics of both indoor and outdoor “regular” environments. This paper shows how a general-purpose Wi- Fi-based indoor positioning system, OwlPS (Owl Positioning System) was adapted to work in that particular environment. A series of experiments, conducted in a formerly exploited gold mine at 70 metres below the surface, across about 400 metres of drifts, is then introduced; it primarily aims at determining the positioning accuracy that can be reached in such a context with a Wi-Fi-based positioning system using the signal strength at 2.4 GHz. The results obtained are improved with a filter, and the mean Euclidean distance error is under 10 metres in most cases when the terminal is carried by an operator; this makes OwlPS usable as is for asset management and emergency positioning of workers underground.