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Trilateration approaches for seamless out-/indoor GNSS and Wi-Fi smartphone positioning

机译:三边测量方法可实现室外/室内GNSS和Wi-Fi智能手机的无缝定位

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摘要

More and more sensors and receivers are found nowadays in smartphones which can enable and improve positioning for Location-based Services and other navigation applications. Apart from inertial sensors, such as accelerometers, gyroscope and magnetometer, receivers for Wireless Fidelity (Wi-Fi) and GNSS signals can be employed for positioning of a mobile user. In this study, three trilateration methods for Wi-Fi positioning are investigated whereby the influence of the derivation of the relationship between the received signal strength (RSS) and the range to an Access Points (AP) are analyzed. The first approach is a straightforward resection for point determination and the second is based on the calculation of the center of gravity in a triangle of APs while weighting the received RSS. In the third method a differential approach is employed where as in Differential GNSS (DGNSS) corrections are derived and applied to the raw RSS measurements. In this Differential Wi-Fi (DWi-Fi) method, reference stations realized by low-cost Raspberry Pi units are used to model temporal RSS variations. In the experiments in this study two different indoor environments are used, one in a laboratory and the second in the entrance of an office building. The results of the second and third approach show position deviations from the ground truth of around 2 m in dependence of the geometrical point location. Furthermore, the transition between GNSS positioning outdoors and Wi-Fi localization indoors in the entrance area of the building is studied.
机译:如今,在智能手机中发现了越来越多的传感器和接收器,这些传感器和接收器可以启用和改善基于位置的服务和其他导航应用程序的定位。除了惯性传感器(例如加速度计,陀螺仪和磁力计)外,无线保真(Wi-Fi)和GNSS信号的接收器也可以用于移动用户的定位。在这项研究中,研究了三种用于Wi-Fi定位的三边测量方法,从而分析了推导接收信号强度(RSS)和到接入点(AP)范围之间关系的影响。第一种方法是直接确定点的后方方法,第二种方法是基于在加权接收的RSS的同时,在AP的三角形中计算重心。在第三种方法中,采用了一种差分方法,其中与差分GNSS(DGNSS)一样,可以导出校正并将其应用于原始RSS测量。在这种差分Wi-Fi(DWi-Fi)方法中,低成本Raspberry Pi单元实现的参考站用于对时间RSS变化建模。在本研究的实验中,使用了两种不同的室内环境,一种在实验室,另一种在办公大楼的入口。第二种方法和第三种方法的结果表明,根据几何点的位置,其与地面实况的偏差约为2 m。此外,还研究了建筑物入口处室外GNSS定位和室内Wi-Fi定位之间的过渡。

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