Multi-floor indoor location estimation system based on wireless local area network

The proliferation of high speed wireless technologies and mobile computing infrastructures has fostered a rapid development in location based services. The key to the success of location based services is the estimation of user’s location. Indoor location estimation system using various wireless t...

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主要作者: Chua, Tien Han
格式: Thesis
语言:English
出版: 2007
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在线阅读:http://eprints.utm.my/id/eprint/6383/1/ChuaTienHanMFKE2007.pdf
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spelling my-utm-ep.63832018-08-26T04:45:22Z Multi-floor indoor location estimation system based on wireless local area network 2007-05 Chua, Tien Han TK Electrical engineering. Electronics Nuclear engineering The proliferation of high speed wireless technologies and mobile computing infrastructures has fostered a rapid development in location based services. The key to the success of location based services is the estimation of user’s location. Indoor location estimation system using various wireless technologies such as infrared and ultrasound are available. However, these systems require specialized infrastructures and incur high costs. This study focuses on design and development of a software based multi-floor indoor location estimation system using Wireless Local Area Network (WLAN). Location fingerprinting technique is employed to estimate Mobile Terminal’s (MT) location. WLAN Received Signal Strength (RSS) measured by MT is used as location fingerprint. Before location estimation, database of location fingerprint is constructed by collecting histograms of RSS at predefined reference locations. During location estimation, current histogram of RSS at unknown location will be compared to the database. The most probable match is selected and returned as estimated location based on Bayesian filtering algorithm. Estimated location is reported as physical location and symbolic location. Before developing the system, study on characteristics of RSS is conducted to help the design, development and implementation of the proposed system. The proposed system is then designed and developed using Java programming language. The performance of the proposed system is evaluated in a two-floor building using offthe- shelf WLAN access points and client device. Finally, various factors which affect the performance of the proposed system are investigated. From the evaluations in the two-floor building, the proposed system achieved best accuracy of 4.56 meters during stationary tests and 4.54 meters during mobile tests with 90% precision. The best percentage of correct floor estimation is 100% for both tests. 2007-05 Thesis http://eprints.utm.my/id/eprint/6383/ http://eprints.utm.my/id/eprint/6383/1/ChuaTienHanMFKE2007.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Chua, Tien Han
Multi-floor indoor location estimation system based on wireless local area network
description The proliferation of high speed wireless technologies and mobile computing infrastructures has fostered a rapid development in location based services. The key to the success of location based services is the estimation of user’s location. Indoor location estimation system using various wireless technologies such as infrared and ultrasound are available. However, these systems require specialized infrastructures and incur high costs. This study focuses on design and development of a software based multi-floor indoor location estimation system using Wireless Local Area Network (WLAN). Location fingerprinting technique is employed to estimate Mobile Terminal’s (MT) location. WLAN Received Signal Strength (RSS) measured by MT is used as location fingerprint. Before location estimation, database of location fingerprint is constructed by collecting histograms of RSS at predefined reference locations. During location estimation, current histogram of RSS at unknown location will be compared to the database. The most probable match is selected and returned as estimated location based on Bayesian filtering algorithm. Estimated location is reported as physical location and symbolic location. Before developing the system, study on characteristics of RSS is conducted to help the design, development and implementation of the proposed system. The proposed system is then designed and developed using Java programming language. The performance of the proposed system is evaluated in a two-floor building using offthe- shelf WLAN access points and client device. Finally, various factors which affect the performance of the proposed system are investigated. From the evaluations in the two-floor building, the proposed system achieved best accuracy of 4.56 meters during stationary tests and 4.54 meters during mobile tests with 90% precision. The best percentage of correct floor estimation is 100% for both tests.
format Thesis
qualification_level Master's degree
author Chua, Tien Han
author_facet Chua, Tien Han
author_sort Chua, Tien Han
title Multi-floor indoor location estimation system based on wireless local area network
title_short Multi-floor indoor location estimation system based on wireless local area network
title_full Multi-floor indoor location estimation system based on wireless local area network
title_fullStr Multi-floor indoor location estimation system based on wireless local area network
title_full_unstemmed Multi-floor indoor location estimation system based on wireless local area network
title_sort multi-floor indoor location estimation system based on wireless local area network
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2007
url http://eprints.utm.my/id/eprint/6383/1/ChuaTienHanMFKE2007.pdf
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