Using Wi-Fi/Magnetometers for Indoor Location and Personal Navigation

被引:0
|
作者
Li, Yuqi [1 ,2 ]
He, Zhe [1 ]
Nielsen, John [1 ,2 ]
Lachapelle, Gerard [1 ]
机构
[1] Univ Calgary, PLAN Grp, Dept Geomat Engn, Calgary, AB, Canada
[2] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB, Canada
关键词
Wi-Fi; magnetometer; orientation; fingerprint; Gaussian processes regression;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
New location algorithms using Wi-Fi or/and magnetometer sensors are proposed considering the orientation impact on the measurements. The feasibility of magnetometer alone fingerprint positioning and orientation inference is also assessed with real indoor data. Android smart devices with low cost sensors are used to build up database along with a Gaussian Processes Regression (GPR) model and to collect independent track test to validate results. The corresponding performance of various solutions such as Wi-Fi alone, magnetometer alone and the magnetometer-aided Wi-Fi are compared. The effects of user's orientation on Wi-Fi signal strength, sensed magnetic fields and overall positioning results in real indoor office-like scenarios are also assessed and investigated.
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页数:7
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