Wireless indoor localization for heterogeneous mobile devices

Indoor positioning techniques based on the received signal strength (RSS) fingerprinting outstand over other localization methods because of their independence from radio propagation models and cost effectiveness in terms of hardware and deployment requirements. However conventional RSS fingerprinti...

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Main Authors: Zhang, Sen, Xiao, Wendong, Zhang, Baoqiang, Soong, Boon Hee
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/97825
http://hdl.handle.net/10220/12130
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-978252020-03-07T13:24:48Z Wireless indoor localization for heterogeneous mobile devices Zhang, Sen Xiao, Wendong Zhang, Baoqiang Soong, Boon Hee School of Electrical and Electronic Engineering International Conference on Computational Problem-Solving (2012 : Leshan, China) DRNTU::Engineering::Electrical and electronic engineering Indoor positioning techniques based on the received signal strength (RSS) fingerprinting outstand over other localization methods because of their independence from radio propagation models and cost effectiveness in terms of hardware and deployment requirements. However conventional RSS fingerprinting approach becomes inefficient when used for localization of heterogeneous mobile devices, where each mobile device may need an individual fingerprint database for localization purpose. In order to overcome this limitation, this paper presents a novel RSS correction approach for localization of heterogeneous devices. In this approach, during the calibration phase, the full fingerprint database is constructed only for one baseline device and the RSS difference between the new device and the baseline device is obtained based on a limited number of common reference points. During the online localization phase, such RSS difference will be used for RSS correction to localize the new device using the fingerprint database of the baseline device. Significant calibration effort is saved for the new device by avoiding setting up its full fingerprint database. Real testing results show that the proposed RSS correction strategy can improve the localization accuracy significantly from that without RSS correction. 2013-07-25T01:12:12Z 2019-12-06T19:47:07Z 2013-07-25T01:12:12Z 2019-12-06T19:47:07Z 2012 2012 Conference Paper Zhang, S., Xiao, W., Zhang, B., & Soong, B. H. (2012). Wireless indoor localization for heterogeneous mobile devices. 2012 International Conference on Computational Problem-Solving (ICCP), 96-100. https://hdl.handle.net/10356/97825 http://hdl.handle.net/10220/12130 10.1109/ICCPS.2012.6383847 en © 2012 IEEE.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Zhang, Sen
Xiao, Wendong
Zhang, Baoqiang
Soong, Boon Hee
Wireless indoor localization for heterogeneous mobile devices
description Indoor positioning techniques based on the received signal strength (RSS) fingerprinting outstand over other localization methods because of their independence from radio propagation models and cost effectiveness in terms of hardware and deployment requirements. However conventional RSS fingerprinting approach becomes inefficient when used for localization of heterogeneous mobile devices, where each mobile device may need an individual fingerprint database for localization purpose. In order to overcome this limitation, this paper presents a novel RSS correction approach for localization of heterogeneous devices. In this approach, during the calibration phase, the full fingerprint database is constructed only for one baseline device and the RSS difference between the new device and the baseline device is obtained based on a limited number of common reference points. During the online localization phase, such RSS difference will be used for RSS correction to localize the new device using the fingerprint database of the baseline device. Significant calibration effort is saved for the new device by avoiding setting up its full fingerprint database. Real testing results show that the proposed RSS correction strategy can improve the localization accuracy significantly from that without RSS correction.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhang, Sen
Xiao, Wendong
Zhang, Baoqiang
Soong, Boon Hee
format Conference or Workshop Item
author Zhang, Sen
Xiao, Wendong
Zhang, Baoqiang
Soong, Boon Hee
author_sort Zhang, Sen
title Wireless indoor localization for heterogeneous mobile devices
title_short Wireless indoor localization for heterogeneous mobile devices
title_full Wireless indoor localization for heterogeneous mobile devices
title_fullStr Wireless indoor localization for heterogeneous mobile devices
title_full_unstemmed Wireless indoor localization for heterogeneous mobile devices
title_sort wireless indoor localization for heterogeneous mobile devices
publishDate 2013
url https://hdl.handle.net/10356/97825
http://hdl.handle.net/10220/12130
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