D. Giustiniano, Theodoros Bourchas, M. Bednarek, Vincent Lenders
{"title":"WiFi飞行时间回波技术噪声的深度检测","authors":"D. Giustiniano, Theodoros Bourchas, M. Bednarek, Vincent Lenders","doi":"10.1145/2811587.2811621","DOIUrl":null,"url":null,"abstract":"Time-of-flight (ToF) echo techniques have been proposed to estimate the distance between a local and a target station using regular WiFi radio devices. As of today, there is little understanding of the noise sources from ToF measurements. We conduct extensive experimental tests based on a customized WiFi echo technique implementation residing in the core of the 802.11 MAC processor and a high-resolution signal analysis of the WiFi traffic captured with a wideband oscilloscope. We discern the root of the error components in WiFi echo technique measurements and statistically characterize the offset noise added by the target station. Our measurements provide key insights to model the sources of noise and guidance for the design of robust distance estimators.","PeriodicalId":371317,"journal":{"name":"Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Deep Inspection of the Noise in WiFi Time-of-Flight Echo Techniques\",\"authors\":\"D. Giustiniano, Theodoros Bourchas, M. Bednarek, Vincent Lenders\",\"doi\":\"10.1145/2811587.2811621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time-of-flight (ToF) echo techniques have been proposed to estimate the distance between a local and a target station using regular WiFi radio devices. As of today, there is little understanding of the noise sources from ToF measurements. We conduct extensive experimental tests based on a customized WiFi echo technique implementation residing in the core of the 802.11 MAC processor and a high-resolution signal analysis of the WiFi traffic captured with a wideband oscilloscope. We discern the root of the error components in WiFi echo technique measurements and statistically characterize the offset noise added by the target station. Our measurements provide key insights to model the sources of noise and guidance for the design of robust distance estimators.\",\"PeriodicalId\":371317,\"journal\":{\"name\":\"Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2811587.2811621\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2811587.2811621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Deep Inspection of the Noise in WiFi Time-of-Flight Echo Techniques
Time-of-flight (ToF) echo techniques have been proposed to estimate the distance between a local and a target station using regular WiFi radio devices. As of today, there is little understanding of the noise sources from ToF measurements. We conduct extensive experimental tests based on a customized WiFi echo technique implementation residing in the core of the 802.11 MAC processor and a high-resolution signal analysis of the WiFi traffic captured with a wideband oscilloscope. We discern the root of the error components in WiFi echo technique measurements and statistically characterize the offset noise added by the target station. Our measurements provide key insights to model the sources of noise and guidance for the design of robust distance estimators.