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Multi-observers of particle filter approach for estimating indoor mobile user location

Mantoro, Teddy and Ayu, Media Anugerah and Usino, Wendi and Raman, Shakiratul Husna and Md Latiff, Nurul Hidayati (2011) Multi-observers of particle filter approach for estimating indoor mobile user location. In: TENCON 2011, 21-24 November 2011, Bali .

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Abstract

Location-aware personal computing application can work accurately by estimating user location using IEEE 802.11 (Wi-Fi) signals in indoor environment. Nowadays, Wi-Fi is more and more widely available and installed on most mobile devices. Unfortunately, the Wi-Fi’s signal fluctuates greatly up to 33%, some of the causes are reflection, refraction, temperature, humidity, the dynamic environment. These make user location not in good accuracy to be estimated. In this paper we propose the use of Particle Filter to improve user location estimation which involves the modeling of non-linear and non-Gaussian systems. To make the estimation accurate, the real time data of multi-observer Wi-Fi signals is used. The loss of diversity and parameter chosen in order to reduce the ambiguity is observed in tracking user location. We improve the Particle Filter Algorithm by giving target/reference points and by reducing the computational complexity. This paper shows that the estimation of the location from real-time data is close to the real tracking object.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5960/6971
Uncontrolled Keywords: Particle filter, indoor mobile user location, IEEE 802.11 Signals, Multi-observers
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Media Ayu
Date Deposited: 21 Nov 2011 11:48
Last Modified: 24 Apr 2012 16:25
URI: http://irep.iium.edu.my/id/eprint/6971

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