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{"title":"Wireless Indoor Positioning: Effective Deployment of Cells and Auto-Calibration","authors":"Félix Barba Barba, Aaron Garrido Martin, Alfonso Fernández-Durán","doi":"10.1002/bltj.21614","DOIUrl":null,"url":null,"abstract":"<p>Establishing a precise location for wireless users while they are indoors is currently an important challenge. The triangulation techniques used for external locations are useless due to adverse effects like the lack of line-of-sight or to multipath propagation. Fingerprinting methods, which are based on the comparison of received signal strength (RSS) values measured by the mobile phone with a radiomap of RSS values recorded during the calibration phase, currently offer the best methods for indoor scenarios. However, they are also affected by problems like channel variability. In this paper, we propose two ways to improve the systems based on fingerprinting methods. The first method minimizes negative effects resulting from inadequate deployment of the radio frequency emitters and describes a method to determine the minimum number and the best way to locate them from initial layout and accuracy requirements. The second method increases accuracy thanks to an automatic radiomap recalibration technique that leverages the measurements reported by a small number of static reference points, strategically deployed in an indoors environment. © 2013 Alcatel-Lucent.</p>","PeriodicalId":55592,"journal":{"name":"Bell Labs Technical Journal","volume":"18 2","pages":"213-235"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/bltj.21614","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bell Labs Technical Journal","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/bltj.21614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
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Abstract
Establishing a precise location for wireless users while they are indoors is currently an important challenge. The triangulation techniques used for external locations are useless due to adverse effects like the lack of line-of-sight or to multipath propagation. Fingerprinting methods, which are based on the comparison of received signal strength (RSS) values measured by the mobile phone with a radiomap of RSS values recorded during the calibration phase, currently offer the best methods for indoor scenarios. However, they are also affected by problems like channel variability. In this paper, we propose two ways to improve the systems based on fingerprinting methods. The first method minimizes negative effects resulting from inadequate deployment of the radio frequency emitters and describes a method to determine the minimum number and the best way to locate them from initial layout and accuracy requirements. The second method increases accuracy thanks to an automatic radiomap recalibration technique that leverages the measurements reported by a small number of static reference points, strategically deployed in an indoors environment. © 2013 Alcatel-Lucent.
无线室内定位:有效部署小区和自动校准
目前,在室内为无线用户确定精确位置是一项重要挑战。由于缺乏视线或多径传播等不利影响,用于外部位置的三角测量技术是无用的。指纹识别方法是基于手机测量的接收信号强度(RSS)值与校准阶段记录的RSS值的无线地图的比较,目前是室内场景的最佳方法。然而,它们也会受到通道可变性等问题的影响。在本文中,我们提出了两种基于指纹识别方法的改进方法。第一种方法最大限度地减少了由于射频发射器部署不足造成的负面影响,并描述了一种从初始布局和精度要求确定最小数量和最佳定位方法的方法。第二种方法提高了精度,这要归功于自动无线电地图再校准技术,该技术利用了少量静态参考点报告的测量结果,这些参考点战略性地部署在室内环境中。©2013阿尔卡特朗讯
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