Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25566
Title: Automatic triangulation positioning system for wide area coverage from a fixed sensors network
Authors: Sfendourakis, Marios
Advisors: Nilavalan, R
Antonidakis, E
Keywords: Transmitters;Detection;Saturation;Coverage;Optimization
Issue Date: 2022
Publisher: Brunel University London
Abstract: In a wide area that many Transmitters (TRs) operate, systems of Fixed Sensors (FS) might be used in order to detect them and find TRs position. The detection and the accurate location of a new TR entering in the area frequently can be missed if the system fails to triangulate accurately the relative readings and analyze the changes in the received data. Additionally, there are cases that a Triangulation Station Network (TSN) can detect the heading as well as the transmitter’s position wrong. This thesis presents the design of a Sensors Network (FSN) system which is able to interact with a user, and exploit the relative data of the Sensors (SRs) in real time. The system performs localization with triangulation and the SRs are detect only TRs bearing data (range free). System design and algorithms are also explained. Efficient algorithms were elaborated and the outcomes of their implementation were calculated. The system design targets to reduce system errors and increase the accuracy and the speed of detection. Synchronously and through interaction with the user and changes of relative settings and parameters will be able to offer the user accurate results on localization of TRs in the area minimizing false readings and False Triangulations (FTRNs). The system also enables the user to apply optimization techniques in order to increase the system detection rate and performance and keep the surveillance in the Field of Interest (FoI) on a high level. The optimization methodology applied for the system proves that the FSN system is able to operate with a high performance even when saturation phenomena appear. The unique outcome of the research conducted, is that this thesis paves the way to enhance the localization via Triangulation for a network of Fixed Sensors with known position. The value of this thesis is that the FSN system performs bearing only detection (Range free) with a certain accuracy and the Area of Interest (AOI) is covered efficiently.
Description: This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University London
URI: https://bura.brunel.ac.uk/handle/2438/25566
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Electrical Engineering Theses

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