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Real-Time and Accurate Indoor Localization with Fusion Model of Wi-Fi Fingerprint and Motion Particle Filter
Joint Authors
Jiang, Xinlong
Chen, Yiqiang
Liu, Junfa
Liu, Dingjun
Gu, Yang
Chen, Zhenyu
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
As the development of Indoor Location Based Service (Indoor LBS), a timely localization and smooth tracking with high accuracy are desperately needed.
Unfortunately, any single method cannot meet the requirement of both high accuracy and real-time ability at the same time.
In this paper, we propose a fusion location framework with Particle Filter using Wi-Fi signals and motion sensors.
In this framework, we use Extreme Learning Machine (ELM) regression algorithm to predict position based on motion sensors and use Wi-Fi fingerprint location result to solve the error accumulation of motion sensors based location occasionally with Particle Filter.
The experiments show that the trajectory is smoother as the real one than the traditional Wi-Fi fingerprint method.
American Psychological Association (APA)
Jiang, Xinlong& Chen, Yiqiang& Liu, Junfa& Liu, Dingjun& Gu, Yang& Chen, Zhenyu. 2015. Real-Time and Accurate Indoor Localization with Fusion Model of Wi-Fi Fingerprint and Motion Particle Filter. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074097
Modern Language Association (MLA)
Jiang, Xinlong…[et al.]. Real-Time and Accurate Indoor Localization with Fusion Model of Wi-Fi Fingerprint and Motion Particle Filter. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1074097
American Medical Association (AMA)
Jiang, Xinlong& Chen, Yiqiang& Liu, Junfa& Liu, Dingjun& Gu, Yang& Chen, Zhenyu. Real-Time and Accurate Indoor Localization with Fusion Model of Wi-Fi Fingerprint and Motion Particle Filter. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074097
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074097