Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/41423
Title: Indoor location system
Authors: Zammit, John
Keywords: Mobile geographic information systems
Location-based services
Wireless localization
Indoor positioning systems (Wireless localization)
Issue Date: 2017
Citation: Zammit, J. (2017). Indoor location system (Bachelor's dissertation).
Abstract: The objective of this project is to design and develop a mobile oriented, indoor location technique. Existing outdoor triangulation positioning techniques like Global Positioning System (GPS) and Globalnaya Navigazionnaya Sputnikovaya Sistema (GLONASS) prove futile and are generally not suitable or accurate enough for indoors, particularly for multilevel buildings. The set goal is to design a system that enables a single Wi-Fi access point (AP) to locate the client device, without support from any additional infrastructure in place. Further, no prior radio-frequency finger-printing procedure is required, thus reducing the computational complexity significantly. This report reviews attempts to design a novel positioning approach with the help of current knowledge. The method suggested in this report is a hybrid angle of arrival (AoA) and received signal strength (RSS) technique. By making use of ray tracing to characterise the propagation in a multi-path rich environment and taking advantage of beamforming and the multiple-input and multiple-output (MIMO) system, a fairly accurate estimation can be obtained. Making use of a ray-tracing analysis, as presented herein, allows for site-specific location positioning using only a single AP. The objective of the report is to present the methodologies and complications encountered in implementing such a system and to present a preliminary analysis of calculations, measurement accuracy and simulation of the suggested algorithm.
Description: B.SC.(HONS)COMPUTER ENG.
URI: https://www.um.edu.mt/library/oar//handle/123456789/41423
Appears in Collections:Dissertations - FacICT - 2017
Dissertations - FacICTCCE - 2017

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Report.pdf
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