Pengfei Luo, Min Zhang, Xiang Zhang, G. Cai, Dahai Han, Qing Li
{"title":"An indoor visible light communication positioning system using dual-tone multi-frequency technique","authors":"Pengfei Luo, Min Zhang, Xiang Zhang, G. Cai, Dahai Han, Qing Li","doi":"10.1109/IWOW.2013.6777770","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a visible light communication (VLC)-based indoor positioning system (IPS) and algorithm using dual-tone multi-frequency (DTMF) technique. Compared with the existing VLC-based IPS algorithms, our algorithm does not need clock synchronization to separate signals from different time slots. With simple procedures, the coarse position or specific position of the mobile can be obtained by analyzing both the time and frequency domain of the received signal. The simulation result shows that the average positioning error is 18 mm at the signal-to-noise ratio (SNR) of 10 dB.","PeriodicalId":134436,"journal":{"name":"2013 2nd International Workshop on Optical Wireless Communications (IWOW)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 2nd International Workshop on Optical Wireless Communications (IWOW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWOW.2013.6777770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 38
Abstract
In this paper, we propose a visible light communication (VLC)-based indoor positioning system (IPS) and algorithm using dual-tone multi-frequency (DTMF) technique. Compared with the existing VLC-based IPS algorithms, our algorithm does not need clock synchronization to separate signals from different time slots. With simple procedures, the coarse position or specific position of the mobile can be obtained by analyzing both the time and frequency domain of the received signal. The simulation result shows that the average positioning error is 18 mm at the signal-to-noise ratio (SNR) of 10 dB.