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Seamless switching between GNSS and WLAN based indoor positioning system for ubiquitous positioning

机译:基于GNSS和WLAN的室内定位系统之间的无缝切换以实现无处不在的定位

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摘要

Ubiquitous positioning technology is a term coined to address the requirements of specifying the "whereness" completely. The technology comprises the indoor and outdoor positioning systems. The Global Navigation Satellite System (GNSS) based systems like GPS, GLONASS, Galileo and QZSS are some of the systems that provide outdoor positioning. While Indoor Positioning Systems (IPSs) are undergoing rapid development, the systems can be supplied using short range wireless technologies such as Wi-Fi, Bluetooth, RFID, and Infrared. Wi-Fi based positioning systems are being particularly intensely researched because of their ubiquitous presence. In this paper, position determination in a 3D indoor environment is explored using the Received Signal Strength Indication (RSSI) as an input tomulti-layer feed forward-back propagation artificial neural networks (ANNs), which are then integrated with GNSS to create a Ubiquitous Positioning System (UPS). The paired ANN model, an enhanced data collection method, and the architecture of the UPS are also presented in this paper, where the UPS was thoroughly investigated on a real Wi-Fi network. The result showed that the paired ANN attains a 30% increase in accuracy compared to a single ANN, while the UPS shows a mean distance error of 3.5 m.
机译:无处不在的定位技术是专门用来满足完全指定“位置”要求的术语。该技术包括室内和室外定位系统。 GPS,GLONASS,Galileo和QZSS等基于全球导航卫星系统(GNSS)的系统是提供室外定位的一些系统。在室内定位系统(IPS)迅速发展的同时,可以使用短距离无线技术(例如Wi-Fi,蓝牙,RFID和红外)来提供系统。基于Wi-Fi的定位系统无处不在,因此受到了特别的研究。在本文中,使用接收信号强度指示(RSSI)作为多层前馈-反向传播人工神经网络(ANN)的输入,探索了3D室内环境中的位置确定,然后将其与GNSS集成以创建无处不在定位系统(UPS)。本文还介绍了配对的ANN模型,增强的数据收集方法以及UPS的体系结构,其中在真实的Wi-Fi网络上对UPS进行了全面研究。结果表明,与单个ANN相比,配对的ANN的精度提高了30%,而UPS的平均距离误差为3.5 m。

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