Intelligent fusion of wi-fi and inertial sensor-based positioning systems for indoor pedestrian navigation

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106922

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106922

Title:	Intelligent fusion of wi-fi and inertial sensor-based positioning systems for indoor pedestrian navigation
Authors:	吳曉光;Chen, Lyu-Han;Wu, Eric Hsiao-Kuang;Jin, Ming-Hui;Chen, Gen-Huey
Contributors:	資訊電機學院資訊工程學系
Keywords:	Accuracy;Fingerprint recognition;IEEE 802.11 Standards;Indoor environments;Sensor systems;Trajectory
Date:	2014-11-01
Issue Date:	2026-04-23 13:48:46 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;IEEE
Abstract:	摘要： Indoor positioning systems based on wireless local area networks are growing rapidly in importance and gaining commercial interest. Pedestrian dead reckoning (PDR) systems, which rely on inertial sensors, such as accelerometers, gyroscopes, or even magnetometers to estimate users' movement, have also been widely adopted for real-time indoor pedestrian location tracking. Since both kinds of systems have their own advantages and disadvantages, a maximum likelihood-based fusion algorithm that integrates a typical Wi-Fi indoor positioning system with a PDR system is proposed in this paper. The strength of the PDR system should eliminate the weakness of the Wi-Fi positioning system and vice versa. The intelligent fusion algorithm can retrieve the initial user location and moving direction information without requiring any user intervention. Experimental results show that the proposed positioning system has better positioning accuracy than the PDR system or Wi-Fi positioning system alone. 其他題名： JSEN 出版者： IEEE 出版日期： 2014-11 出處： IEEE sensors journal, 2014-11, Vol.14 (11), p.4034-4042 資源來源： IEEE Xplore Digital Library (LUT) 識別號： ISSN: 1530-437X 識別號： EISSN: 1558-1748 識別號： DOI: 10.1109/JSEN.2014.2330573 識別號： CODEN: ISJEAZ
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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