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Soort opdracht: Stage-/Afstudeeropdracht
Studierichting(en): Elektrotechniek, Toegepaste Wiskunde, Technische Natuurkunde
Titel van de opdracht: Metasurfaces for Compressive Sensing on Radar Array Antenna Systems
The people we all rely on to make the world go round – they rely on Thales. In a world that is increasingly fast-moving, unpredictable and full of opportunities, they come to us with big ambitions: to make life better and to keep you safer. Combining a unique diversity of expertise, talents and cultures, our employees design and deliver extraordinary high-tech solutions. With 68.000 talents working in 54 countries, 2000 employees are based in the Netherlands. We are one of the biggest high-tech employers in the field of safety and security.
We help our customers think smarter and act faster in the fields of transportation, defence, space, aerospace and cyberspace, mastering ever-greater complexity and every decisive moment along the way. We are therefore leading the digital transformation, focusing on artificial intelligence, big-data & data analytics, connectivity, mobility and internet of things and cybersecurity.
In the Netherlands, we are located in four cities: Huizen, Delft, Eindhoven and Hengelo (HQ). Together with an extensive ecosystem of knowledge partners, customers and suppliers, we work on radars for naval vessels, cyber security solutions, transportation systems, communication equipment for land forces, cryogenic cooling solutions, research & development for radar tech (in collaboration with TU Delft) and research & development for serious gaming (in collaboration with the University of Twente).
About the assignment
Data acquisition based on Compressive Sensing (CS) has shown enormous potentialities in terms of reduction of system complexity and costs, without compromising performances. CS allows working with a reduced number of measurements under the conditions that the sensing results are sparse and the sensing is incoherent. It has been recently proved at Thales NL in  that among the different schemes to implement CS, the one where the operation of compression is performed before the signal is processed by the receiving modules, therefore directly at antenna level, can achieve much better performances in terms of Signal-to-Noise ratio. In order to do that, it is necessary to realize a Metasurface Random Phase Mask that can add at each array antenna element a random phase and combine the different element contributions into a single signal. Different combinations with different phase settings would form the set of signals for CS. Metasurfaces  have attracted an enormous attention of the scientific community in the last decade, and they have been proved to be a breakthrough technology in several applications. TNO and TU/e have jointly developed a considerable know-how on the design and application of metasurfaces over a very wide frequency spectrum: from microwaves up to optical frequencies.
 R. Pribić, G. Leeus, C. Tzotzadinis, “Signal-to-Noise-Ratio Analysis of Compressive Data Acquisition”, 2018 IEEE Workshop on Statistical Signal Processing (SSP).
 Theory and Phenomena of Metamaterials; Metamaterials Handbook; Applications of Metamaterials; edited by F. Capolino, CRC Press, 2009.
Thales NL, TU/e and TNO propose an MSc project whose goal is to design a metasurface for CS in phased arrays and demonstrate the concept with the realization of a hardware demonstrator of a metasurface antenna array with M outputs and with N outputs as the reference, M<N. Following a literature study of the current state-of-the-art of metasurface theory and design and a proper understanding of the CS sensing techniques in radar arrays, the student will perform the design of M metasurfaces and will combine them with an antenna array of N elements, based on the requirements derived in collaboration with the research partners.
The graduation project will be performed within the Center for Wireless Technologies (CWT/e, EM group) at TU/e in close collaboration with Thales NL and TNO. The student is expected to perform the project at TU/e (Electromagnetics Group) in Eindhoven or at the TNO premises in Delft, with regular visits to the Thales NL premises, in Delft. Equipment, support and a budget for experiments are available.
- Scientific (University) education in Electrical Engineering or Applied Mathematics or Applied Physics;
- Strong background in antenna design, electromagnetics and signal processing;
- Experience in MATLAB or Python;
- Good verbal and written communication skills in English
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