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首页> 外文会议>International Conference on Intelligent Sensors, Sensor Networks and Information Processing >Improving Wi-Fi based Indoor Positioning using Particle Filter based on Signal Strength
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Improving Wi-Fi based Indoor Positioning using Particle Filter based on Signal Strength

机译：基于信号强度的粒子滤波器改善基于Wi-Fi的室内定位

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摘要

Indoor positioning is recognized as one of the upcoming major applications which can be used in wide variety of applications such as indoor navigation and enterprise asset tracking. The significance of localization in indoor environments have made the use of Wi-Fi based indoor positioning so that it can utilize available current wireless infrastructure and perform positioning very easily. In this paper we introduced a user friendly prototype for Wi-Fi based indoor positioning system where a user can identify its own position in indoor. Wi-Fi received signal strength (RSS) fluctuations over time introduce incorrect positioning. To minimize the fluctuation of RSS, we developed Particle Filters with the prototype. A comparison between with and without Particle Filter for error performance is presented and at the same time it is also noticed that variation in number of particles could change the positioning accuracy. Moreover comparison between calibration data in all directions and in one direction while constructing a radio map is presented.
机译：室内定位被认为是即将到来的主要应用之一，可用于各种应用，如室内导航和企业资产跟踪。本地化在室内环境中的重要性已经利用了基于Wi-Fi的室内定位，以便它可以利用可用的电流无线基础设施并非常容易地执行定位。在本文中，我们为基于Wi-Fi的室内定位系统推出了一个用户友好的原型，其中用户可以在室内识别其自己的位置。随着时间的推移，Wi-Fi接收信号强度（RSS）波动引入了不正确的定位。为了最大限度地减少RSS的波动，我们开发了具有原型的粒子过滤器。呈现出误差性能的与粒子过滤器之间的比较，同时也被注意到粒子数量的变化可以改变定位精度。此外，还提出了在构建无线电映射的同时在所有方向上和一个方向上校准数据之间的校准数据的比较。

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