基于公共电话亭的城域Wi-Fi定位新方法

H. Tian, Linyuan Xia, E. Mok
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引用次数: 9

摘要

低成本移动设备快速准确定位其地理位置的能力对于行人导航和基于位置的服务(LBS)非常重要。传统方法通常依赖全球导航卫星系统(GNSS)、信标或高成本跟踪系统提供的全球信息。微弱的信号和缓慢的首次固定时间是GNSS的两个限制,其他传感器如惯性测量单元(IMU)设备将增加硬件成本,并且需要更复杂的混合算法。Wi-Fi定位目前被认为是一种性价比高的室内外定位方式,它主要基于接收信号强度指标(RSSI)的测量,有很多商业产品像Skyhook的Wi-Fi定位技术。但Wi-Fi数据库是通过wardriving收集的,只能提供30 - 50米精度的粗略定位。在本文中,我们提出了一种新的方法在香港大都市规模的Wi-Fi定位。我们的电讯盈科电话亭Wi-Fi数据库是根据公用电话亭的资料,包括媒体访问控制地址(MAC地址)、服务集识别码(SSID)和安装在公用电话亭的Wi-Fi装置的坐标,精确测量而成。我们还提出了典型城市环境下的路径损失模型,以提高RSSI与距离关系的准确性。实验结果表明,安装在公共电话亭的Wi-Fi可以有效地用于香港的定位。细胞识别(cell - id)秩法一般可以达到40m以上的精度。在路径损耗模型有效距离小于30m,且三角测量几何条件良好的情况下,继Cell-ID秩法之后的三角测量方法可以将Wi-Fi定位精度提高到10m以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel method for metropolitan-scale Wi-Fi localization based on public telephone booths
The ability of low-cost mobile devices to quickly and accurately localize their geolocation is extremely important for pedestrian navigation and location-based services (LBS). Traditional approaches typically rely on global information provided by Global Navigation Satellite System (GNSS), beacons, or the high-cost tracking system. Weak signals and slow time to first fix are two limitations of GNSS, other sensors such as inertial measurement unit (IMU) devices will increase the hardware cost and need a substantially more complicated hybrid algorithm. Wi-Fi localization now regarded as a cost-effective way for indoor and outdoor positioning, it's mainly based on received signal strength indicator (RSSI) measurements, and there are many commercial products like Skyhook's Wi-Fi positioning technology. But the Wi-Fi database is collected through wardriving and it only provides a coarse location with 30–50m accuracy. In this paper, we present a novel method for metropolitan-scale Wi-Fi localization in Hong Kong. Our PCCW telephone booth Wi-Fi database is gathered through precise measurement based on the public telephone booths information, including the media access control address (MAC address), service set identifier (SSID) and coordinates of the Wi-Fi devices installed in the public telephone booths. We also propose a path loss model in the typical urban environment for improved accuracy in the relationship between RSSI and distance. Experimental results demonstrate that the Wi-Fi installed in the public telephone booths can be effectively used for localization in Hong Kong. The cell identification (Cell-ID) rank approach can generally achieve better than 40m accuracy. The triangulation approach following the Cell-ID rank approach can improve the Wi-Fi positioning accuracy to better than 10m level, if the effective range for path loss model is less than 30m, and under good triangulation geometry.
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