Indoor Positioning on Disparate Commercial Smartphones Using Wi-Fi Access Points Coverage Area
Indoor Positioning on Disparate Commercial Smartphones Using Wi-Fi Access Points Coverage Area
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DOI：
10.3390/s19194351
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发表时间：
2019-10-01
期刊：
影响因子：
3.9
通讯作者：
Park, Yongwan
中科院分区：
文献类型：
--
作者：
Ashraf, Imran;Hur, Soojung;Park, Yongwan
基于位置的服务的应用需要用户在室内和室外的精确位置信息。全球定位系统在室内环境下的准确性降低，使得室内定位系统（IPS）成为必要。然而，开发一个IPS，它可以确定用户的位置与异构智能手机以相同的方式是一个具有挑战性的问题。基于Wi-Fi指纹识别的IPS的性能会受到许多因素的影响，包括由障碍物、人体移动性和身体损失引起的阴影、吸收和干扰。此外，使用各种智能手机和同一智能手机的不同取向也会限制其定位精度。由于Wi-Fi指纹识别基于接收信号强度（RSS）向量，因此其易于受到无线电传播的动态固有限制，包括随时间的变化以及具有类似RSS向量的遥远位置。本文提出了一种Wi-Fi指纹识别方法，该方法利用Wi-Fi接入点（AP）的覆盖区域，而不使用RSS向量。该方法利用AP覆盖区域唯一性和覆盖区域重叠的概念，通过AP的交叉区域计算用户的当前位置。实验结果表明，设备依赖性可以通过使用所提出的方法制作指纹数据库来减轻。在公共场所进行的实验证明，由于所提出的方法在具有人员流动性的动态环境中表现良好，因此定位精度也可以提高。也研究了人体损失的影响。
The applications of location-based services require precise location information of a user both indoors and outdoors. Global positioning system's reduced accuracy for indoor environments necessitated the initiation of Indoor Positioning Systems (IPSs). However, the development of an IPS which can determine the user's position with heterogeneous smartphones in the same fashion is a challenging problem. The performance of Wi-Fi fingerprinting-based IPSs is degraded by many factors including shadowing, absorption, and interference caused by obstacles, human mobility, and body loss. Moreover, the use of various smartphones and different orientations of the very same smartphone can limit its positioning accuracy as well. As Wi-Fi fingerprinting is based on Received Signal Strength (RSS) vector, it is prone to dynamic intrinsic limitations of radio propagation, including changes over time, and far away locations having similar RSS vector. This article presents a Wi-Fi fingerprinting approach that exploits Wi-Fi Access Points (APs) coverage area and does not utilize the RSS vector. Using the concepts of APs coverage area uniqueness and coverage area overlap, the proposed approach calculates the user's current position with the help of APs' intersection area. The experimental results demonstrate that the device dependency can be mitigated by making the fingerprinting database with the proposed approach. The experiments performed at a public place proves that positioning accuracy can also be increased because the proposed approach performs well in dynamic environments with human mobility. The impact of human body loss is studied as well.