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Gps+ Rfid

机译:GPS +射频

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摘要

Most of the developed systems for pedestrian navigation, and guidance services rely on GNSS, sometimes in combination with other sensors and positioning methods. Our approach in the Ubiquitous Cartography for Pedestrian Navigation (UCPNAVI) project uses active radio-frequency identification (RFID) in combination with GNSS and inertial navigation systems (INS) to navigate areas such as urban canyons and indoors, where satellite positioning does not fulfill pedestrian requirements. RFID transmits data via radio waves without line-of-sight contact. Nowadays, RFID can also be used for positioning, because the location estimation can be based on received signal strength indication (RSSI), which measures the power present in a received radio signal. The receiver can compute its position using various methods based on RSSI (for example, a range-based positioning system based on trilateration, modeling of indoor positioning systems based on location fingerprinting). We have employed three different methods in our research: cell-based positioning, trilateration using ranges to the surrounding RFID tags deduced from received signal-strength measurements, and RFID location fingerprinting. In our experiment for the positioning of a pedestrian from the subway station Karlsplatz to one of the offices in a building of the Vienna University of Technology, we combined all three methods.
机译:大多数用于行人导航和制导服务的已开发系统都依赖GNSS,有时还与其他传感器和定位方法结合使用。我们在无处不在的行人导航制图(UCPNAVI)项目中采用的方法是,将主动射频识别(RFID)与GNSS和惯性导航系统(INS)结合使用,以导航卫星定位无法满足行人的区域,例如城市峡谷和室内要求。 RFID通过无线电波传输数据,而没有视线接触。如今,RFID也可以用于定位,因为位置估计可以基于接收信号强度指示(RSSI),该信号测量接收到的无线电信号中存在的功率。接收器可以使用基于RSSI的各种方法(例如,基于三边测量的基于范围的定位系统,基于位置指纹的室内定位系统建模)来计算其位置。我们在研究中采用了三种不同的方法:基于单元的定位,利用从接收到的信号强度测量结果推导的周围RFID标签的距离进行三边测量,以及RFID位置指纹识别。在将行人从地铁站卡尔斯广场(Karlsplatz)定位到维也纳科技大学一栋办公室中的一个办公室的实验中,我们结合了这三种方法。

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