论文标题
使用Wi-Fi电台和移动设备内置传感器的无校准定位技术
Calibration-Free Positioning Technique Using Wi-Fi Ranging and Built-in Sensors of Mobile Devices
论文作者
论文摘要
随着定位解决方案集成了多个组件以提高准确性，需要校准的参数数量增加了。本文使用Wi-Fi射程和行人死算（PDR）研究了无校准的定位技术，其中系统中的每个参数均可实时优化。这大大减少了执行手动校准程序所需的时间和精力，并使定位解决方案在各种情况下实现了稳健的性能。此外，本文研究了执行不规则Wi-Fi范围程序的有效方法，以改善移动设备的电池寿命和网络性能。使用在大型室内办公环境下的几个移动设备上的实时Android应用程序验证了所提出方法的定位性能。没有进行任何校准，提出的方法实现了接收信号强度（RSS）的范围场景的平均定位精度，该方案的平均位置精度为基于完美校准的基准，与基准相差30厘米。此外，往返时间（RTT）基于40 MHz带宽配置的基于往返时间（RTT）的远程范围内的提议方法的精度最高为1.04 m，与基准相差10 cm。
As positioning solutions integrate multiple components to improve accuracy, the number of parameters that require calibration has increased. This paper studies a calibration-free positioning technique using Wi-Fi ranging and pedestrian dead reckoning (PDR), where every parameter in the system is optimized in real-time. This significantly decreases the time and effort required to perform manual calibration procedures and enables the positioning solution to achieve robust performance in various situations. Additionally, this paper studies an efficient way of performing irregular Wi-Fi ranging procedures to improve battery life and network performance of mobile devices. The positioning performance of the proposed method was verified using a real-time Android application on several mobile devices under a large indoor office environment. Without any calibration, the proposed method achieved up to 1.38 m average positioning accuracy for received signal strength (RSS)-based ranging scenarios, which differs only by 30 cm from the benchmark assuming perfect calibration. In addition, the proposed method achieved up to 1.04 m accuracy for round trip time (RTT)-based ranging scenarios with a 40 MHz bandwidth configuration, which differs only by 10 cm from the benchmark.
