Radio-frequency electromagnetic compatibility analysis in small and micro satellites (Master's Degree Thesis)Persona da contattare:
XINGLONG WUEmail:
xinglong.wu@polimi.it Corso di studio in Ingegneria Elettrica, Ingegneria Elettronica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Ludovica Illiano and the industry supervisor at OHB ItaliaPagina Web:
Details see: Bacheca Tesi (Thesis bulletin board) accessible through the POLIMI online servicesDescrizione
Descrizione:
(Thesis-oriented internship at OHB Italia)
Small and micro satellites present a significant challenge for radio-frequency compatibility verification by analysis, a fundamental step that must be performed within the design loop long before verification by test, which usually occurs at a much later stage of the spacecraft production cycle. The compact size of these platforms results in very limited distances between antennas, typically far smaller than the separation required to remain within the validity limits of the analytical methodologies commonly used for larger spacecraft.
In this context, the aim of the thesis is to develop an analytical approach to address this challenge, specifically:
To use FEKO to develop antenna models typically employed on small and micro platforms (e.g., patch antennas).
To use the FEKO optimization tools to tune and fit these antenna models using information provided by the antenna suppliers.
To use the developed antenna models to derive coupling factors between different antennas at both in band and out of band frequencies in real case scenarios.
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Metasurface-Enhanced Passive Patches for WiFi-Based Contactless Vital Sign MonitoringPersona da contattare:
SILVIA MURAEmail:
silvia.mura@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Biomedica, Ingegneria Elettrica, Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Marouan MizmiziDescrizione
Enhancing Autonomous UAV-Based Localization through Hybrid Signal Processing and Adaptive Mission PlanningPersona da contattare:
FRANCESCO LINSALATAEmail:
francesco.linsalata@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Biomedica, Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Maurizio MagariniDescrizione
Descrizione:
This thesis explores the use of autonomous unmanned aerial vehicles (UAVs) as passive sensing platforms for multi-user identification and localization in 5G cellular networks. Building on recent advances in UAV-based signal intelligence, the work aims to enhance the accuracy, robustness, and efficiency of user localization by combining advanced signal processing techniques with adaptive UAV mission planning. The research will investigate methods for extracting spatial information from uplink reference signals, addressing challenges such as multi-user interference, multipath propagation, and limited sensing time. In addition, the thesis will study intelligent trajectory optimization strategies that allow the UAV to dynamically adapt its flight path based on real-time signal measurements, balancing localization performance and energy consumption. The expected outcome is a scalable and infrastructure-independent framework for reliable user localization, with strong potential impact in emergency response, disaster recovery, and next-generation wireless network monitoring.
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Advanced Topics in PhotonicsPersona da contattare:
FRANCESCO MORICHETTIEmail:
francesco.morichetti@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Andrea MelloniPagina Web:
https://photonics.deib.polimi.it/Descrizione
Descrizione:
The Photonic Devices group of Politecnico di Milano, leaded by Proff. Andrea Melloni and Francesco Morichetti has many openings for master thesis.
The group is involved in fundamental as well as applied research in photonics, from waveguide technology to circuit design, from industry applications to new concepts in the field of communication (fiber and free space), sensing, circuit control, testing and photonic computing.
Activities range from numerical analysis to experimental characterizations to fabrication in clean room. The group works in a multidisciplinary scenario merging photonics with electronics, control systems, computer science, machine learning, ….
We have different open positions for master thesis on various topics:
- Programmable Photonic Circuits
- Photonic computing
- Wireless optics and microwave photonics
- Photonic sensors and LIDAR
- Photonic MEMS
- Photonics for quantum systems
- Silicon (oxy)carbide technology, waveguides and passive/active devices conception and fabrication
- Testing techniques and tools for volume and on-wafer level
- Electronics and algorithms for circuit control
- Micro and nano fabrication in clean room (Polifab)
Students interested in a thesis activity with us should have some background in one of the following areas: photonics, telecommunication, electronics, RF systems, electromagnetism and physics, material science, engineering, control systems, computer science.
About us
https://photonics.deib.polimi.it
https://www.polifab.polimi.it
If you are interested or require more information contact andrea.melloni@polimi.it and francesco.morichetti@polimi.it.
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Digital Twin Framework for Intrabody RF Wireless CommunicationsPersona da contattare:
SILVIA MURA, FRANCESCO LINSALATAEmail:
silvia.mura@polimi.it, francesco.linsalata@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Biomedica, Ingegneria Elettrica, Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Maurizio MagariniDescrizione
Descrizione:
This thesis presents a digital twin framework for modeling and optimizing intrabody RF wireless communications across frequencies including millimeter-wave (mmWave) and terahertz (THz) bands. By integrating detailed anatomical and physiological data, the framework accurately replicates the complex electromagnetic environment within the human body. This enables predictive simulations of signal propagation, addressing key challenges such as attenuation, scattering, and absorption. The digital twin provides a non-invasive platform for designing and optimizing intrabody wireless systems, facilitating the advancement of high-performance networks for biomedical applications like implantable devices and real-time health monitoring.
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Contributions to the development of a 5G snifferPersona da contattare:
EUGENIO MOROEmail:
eugenio.moro@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Marco MezzavillaDescrizione
Descrizione:
We are looking for a master student interested in pursuing their thesis on the topic of 5G networks. More specifically, the thesis is about contributing to the development of a 5G sniffer. In broad terms, a 5G sniffer is a device capable of decoding the transmissions between gNB and UEs.
The ideal candidate has the following skills:
- Proficient with C/C++
- Familiar with CMake
- Knowledgeable about wireless communication systems, specifically mobile radio networks
Bonus points if you have:
- experience with SDR
- experience with OpenAirInterface
This thesis will be carried out in collaboration with a team from KAIST university, but it does not require you to move to Korea.
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Wi-Fi Systems for Sport Racing CommunicationPersona da contattare:
LUCA REGGIANIEmail:
luca.reggiani@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
Wi-Fi is the well-known family of wireless local area network protocols based on the IEEE 802.11 standard. The recent releases 6 and 7 have reached peak data rates around 10 and 46 Gbps respectively in bands at 2.4, 5, 6 GHz and they are widely deployed for short-medium range communication in indoor and outdoor environments. In cooperation with Marelli Motorsport, this thesis explores the use of Wi-Fi 6 for sport racing communication applications, in outdoor scenarios with medium-range data transfer and affected by interference of concurrent wireless systems. The study involves simulative and experimental activities.
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