Doctoral theses of the School of Electrical Engineering at Aaltodoc (external link)
Doctoral theses of the School of Electrical Engineering are available in the open access repository maintained by Aalto, Aaltodoc.
Public defence in Communications Engineering and Networking Technology, M.Sc. Mehari Meles
Public defence from the Aalto University School of Electrical Engineering, Department of Information and Communications Engineering
When
–
Where
Lecture hall TU1
Event language(s)
English
The title of the thesis: Drone Localization in GNSS-Denied Environments: Addressing the Impacts of Hardware Imperfections, RIS Assistance, and Jammer Nullification
Thesis defender: Mehari Meles
Opponents: Prof. Antti Tölli, University of Oulu, Finland
Custos: Prof. Riku Jäntti, Aalto University School of Electrical Engineering, Department of Information and Communications Engineering
This work focuses on 2D and 3D drone localization without relying on GNSS signals, under various hardware impairments. The study explores the use of Base Station (BS) and Reconfigurable Intelligent Surface (RIS) configurations for accurate drone positioning. Both outdoor measurements and simulations are considered, accounting for hardware imperfections and the presence of a jammer.
The purpose of the research explores a measurement-based 2D GNSS-free drone localization framework, employing unique methodologies to establish a baseline for GNSSindependent positioning. Building on this foundation, the thesis progresses to measurementbased 3D GNSS-free localization frameworks, utilizing Multiple-Input Multiple-Output (MIMO) testbeds with refined methods to enhance accuracy. This work lays a solid foundation by leveraging real-world measurements to demonstrate the feasibility and effectiveness of GNSS-free drone localization, while addressing practical challenges and proposing solutions in both 2D and 3D scenarios.
Additionally, the study evaluates how hardware imperfections in both the RIS and the base station (BS) degrade drone localization accuracy, and it develops methods to nullify jamming signals, thereby minimizing the impact of interference on drone positioning.
In conclusion, the proposed approach can be applied to future 6G drone networks, smart cities, and critical infrastructure monitoring where robust and secure positioning is required without GNSS.
Key words: RIS, GNSS, drone, localization
Thesis available for public display 10 days prior to the defence at Aaltodoc.
Contact:
Name: Mehari Belay Meles
Email: mehari.meles@aalto.fi
Mobile :+358503551687
Doctoral theses of the School of Electrical Engineering
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