SAP: A Novel Stationary Peers Assisted Indoor Positioning System

SAP: A Novel Stationary Peers Assisted Indoor Positioning System
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SAP:新型固定同伴辅助室内定位系统

DOI:
10.1109/access.2018.2883800
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发表时间:
2018
期刊:
影响因子:
3.9
通讯作者:
Liu Jiangchuan
Liu Jiangchuan
中科院分区:
计算机科学3区
文献类型:
--
作者:
Cai Chao;Ma Xiaoqiang;Hu Menglan;Yang Yang;Li Zhetao;Liu Jiangchuan

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近年来,室内定位技术取得了重大进展。现有的方法要么需要繁琐的现场调查,要么需要定制硬件,因此阻碍了它们的普及。在本文中,我们提出了静止对等辅助室内定位(SAP),这是一种实用的室内定位解决方案,具有高度可扩展性和易于部署。SAP通过巧妙地利用相对静止的人(即在常见室内环境中大量存在的静止同伴)来辅助定位,极大地减轻了指纹采集的痛苦。一旦获得了SPs的位置和SPs与目标的相对距离,SAP就可以应用三边定位来定位目标。SAP集成了三个关键模块:一种新型的基于加速度计的滤波器,可以准确识别SP,一种增强的基于指纹的定位方法,可以准确定位SP的位置,以及一种强大的声学测距方法。我们在Android平台上实现了SAP的原型,并在具有代表性的现实环境中评估了其性能。SAP实现了80%的2.2 m的定位误差,这与大多数现有的智能手机辅助方法相当。
Recent years have witnessed significant advances in indoor positioning. Existing approaches either require cumbersome site surveys or customized hardware, thus hindering their popularity. In this paper, we propose Stationary peers-Assisted indoor Positioning (SAP), a practical indoor positioning solution that is highly scalable and easy-to-deploy. SAP greatly alleviates the pain of fingerprint collection by smartly leveraging the relatively stationary people, namely stationary peers that are largely available in common indoor environments to assist positioning. Once SPs’ locations and the relative distance between SPs and a target are obtained, SAP can apply trilateration to locate the target. SAP incorporates three key modules: a novel accelerometer-based filter that can accurately identify SP, an enhanced fingerprint-based positioning method that can accurately pinpoint SPs’ locations, and a robust acoustic ranging method. We implement a prototype of SAP on the Android platform and evaluate its performance in representative real-world environments. SAP achieves an 80% positioning error of 2.2 m, which is comparable to the most existing smartphone-assisted approaches.
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