Orientation-based Wi-Fi positioning on the Google nexus one

Eddie C.L. Chan; George Baciu; S. C. Mak

doi:10.1109/WIMOB.2010.5645038

Orientation-based Wi-Fi positioning on the Google nexus one

Eddie C.L. Chan
, George Baciu
, S. C. Mak

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

17 Citations (Scopus)

Abstract

While localization systems for indoor areas using the existing wireless local area network (WLAN) infrastructure have recently been proposed, wireless LAN localization approaches suffer from a number of significant drawbacks. To begin with, there is inaccurate position tracking due to the orientation of the mobile device and signal fluctuation. In this paper, we apply an orientation filter and a Newton Trust Region (TR) algorithm to eliminate the noisy location estimation. We implement the localization algorithm on the Nexus One which is a Wi-Fi enabled device with a digital compass. The average error distance is only 1.82m. We achieve 90% precision within 2.45m. The proposed method leads to substantially more accurate and robust localization system.

Original language	English
Title of host publication	2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2010
Pages	392-397
Number of pages	6
DOIs	https://doi.org/10.1109/WIMOB.2010.5645038
Publication status	Published - 1 Dec 2010
Event	6th Annual IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2010 - Niagara Falls, ON, Canada Duration: 11 Oct 2010 → 13 Oct 2010

Conference

Conference	6th Annual IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2010
Country/Territory	Canada
City	Niagara Falls, ON
Period	11/10/10 → 13/10/10

Keywords

Digital compass
Indoor positioning
Location fingerprinting
Newton trust region
Orientation

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Networks and Communications
Communication

More information

10.1109/WIMOB.2010.5645038

Cite this

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title = "Orientation-based Wi-Fi positioning on the Google nexus one",

abstract = "While localization systems for indoor areas using the existing wireless local area network (WLAN) infrastructure have recently been proposed, wireless LAN localization approaches suffer from a number of significant drawbacks. To begin with, there is inaccurate position tracking due to the orientation of the mobile device and signal fluctuation. In this paper, we apply an orientation filter and a Newton Trust Region (TR) algorithm to eliminate the noisy location estimation. We implement the localization algorithm on the Nexus One which is a Wi-Fi enabled device with a digital compass. The average error distance is only 1.82m. We achieve 90\% precision within 2.45m. The proposed method leads to substantially more accurate and robust localization system.",

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Chan, ECL, Baciu, G & Mak, SC 2010, Orientation-based Wi-Fi positioning on the Google nexus one. in 2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2010., 5645038, pp. 392-397, 6th Annual IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2010, Niagara Falls, ON, Canada, 11/10/10. https://doi.org/10.1109/WIMOB.2010.5645038

Orientation-based Wi-Fi positioning on the Google nexus one. / Chan, Eddie C.L.; Baciu, George; Mak, S. C.
2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2010. 2010. p. 392-397 5645038.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - While localization systems for indoor areas using the existing wireless local area network (WLAN) infrastructure have recently been proposed, wireless LAN localization approaches suffer from a number of significant drawbacks. To begin with, there is inaccurate position tracking due to the orientation of the mobile device and signal fluctuation. In this paper, we apply an orientation filter and a Newton Trust Region (TR) algorithm to eliminate the noisy location estimation. We implement the localization algorithm on the Nexus One which is a Wi-Fi enabled device with a digital compass. The average error distance is only 1.82m. We achieve 90% precision within 2.45m. The proposed method leads to substantially more accurate and robust localization system.

AB - While localization systems for indoor areas using the existing wireless local area network (WLAN) infrastructure have recently been proposed, wireless LAN localization approaches suffer from a number of significant drawbacks. To begin with, there is inaccurate position tracking due to the orientation of the mobile device and signal fluctuation. In this paper, we apply an orientation filter and a Newton Trust Region (TR) algorithm to eliminate the noisy location estimation. We implement the localization algorithm on the Nexus One which is a Wi-Fi enabled device with a digital compass. The average error distance is only 1.82m. We achieve 90% precision within 2.45m. The proposed method leads to substantially more accurate and robust localization system.

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KW - Indoor positioning

KW - Location fingerprinting

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KW - Orientation

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Orientation-based Wi-Fi positioning on the Google nexus one

Abstract

Conference

Keywords

ASJC Scopus subject areas

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