Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Indoor Positioning Using Periodical Analysis

Authors
Yansha Guo, Yanni Guo
Corresponding Author
Yansha Guo
Available Online November 2015.
DOI
https://doi.org/10.2991/itms-15.2015.16How to use a DOI?
Keywords
Indoor Positioning; Magnetic Field; Periodical Analysis; Multiple Stepwise Regression
Abstract
LBS (Location Based Service) has been more and more integrated into the various industries, simultaneously, the development of the industry further promote the intensive research and widespread application of LBS. In this paper, we present an excellent resolution for indoor location estimation based on local geomagnetic features. Multi-stage periodical analysis can sufficiently mine the different features for high precision. Initial stage: Kalman filter was used to smoothing the fluctuation of magnetic measurements; Second stage: the filtered data were normalized to construct mean generation matrix of periodical extension, which was the basis for multiple stepwise regression modeling; Third stage: location estimation was finally speculated by KNN (K-nearest neighbor) method in view of the local magnetic characteristics. The magnetic measurements (X,Y,Z) over 82 days, but only the data of 46 days were applied in this paper, in entire implementing processes were from an office environment in Institute of Computing Technology Chinese Academy of Sciences. Our results showed that multi-stage analysis can efficiently estimate the indoor location with an overall accuracy of 83%, completely incorporated the superiority of smart-phone and natural resources, and can be conveniently extended to the relative LBS fields.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the 2015 International Conference on Industrial Technology and Management Science
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/itms-15.2015.16How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yansha Guo
AU  - Yanni Guo
PY  - 2015/11
DA  - 2015/11
TI  - Indoor Positioning Using Periodical Analysis
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 62
EP  - 65
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.16
DO  - https://doi.org/10.2991/itms-15.2015.16
ID  - Guo2015/11
ER  -