MA_eng

Browse all posts in the MA_eng category.

6 total

22DEC 2025
BA_eng
MA: Development of a RF power amplifier for MRI
This work is suitable for a master’s thesis , but can also be adapted for a bachelor thesis or Research internship. Description The high-frequency power amplifier (RF PA) plays a central role in every transmission and reception chain. Such amplifiers are not only used in classic applications such as mobile communications, aerospace and defence, but […]
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08DEC 2025
FP_eng
MA: Detection and classification of jammers in a distributed system
(suitable for HW/FP/MA; scope and depth will be adapted to ECTS and prior knowledge) Description In modern wireless communication systems, deliberate interference, also known as jamming, poses a significant threat. Such attacks can be classified as a type of denial of service (DoS) attack and jeopardize the integrity and availability of communication systems. Reliable detection […]
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08SEP 2025
MA_eng
MA: Open Source RFIC Design
(suitable for HW/FP/MA; scope and depth will be adapted to ECTS and prior knowledge) Description We will build an end-to-end RFIC design flow (schematic → layout → EM → co-simulation) both with open-source tools and in commercial environments, and correlate the results.The work includes IC design (schematic, layout, verification) in Cadence/ADS and Ansys HFSS/CST, as […]
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01SEP 2025
MA_eng
MA: Person Detection and Classification from Radar Data using Machine Learning
Description As part of a campus Joint Communication and Sensing (JCAS) system, machine learning methods for person detection and classification based on radar data are to be developed. Students will research and select suitable datasets (e.g., point clouds or range–Doppler data) and prepare them for modeling. The goal is to investigate the performance of different […]
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19AUG 2025
MA
Artificial Neural Networks (ANNs) Modeling of Acoustic Wave Resonators and Filters
Description: This thesis explores the application of artificial neural networks (ANNs) as surrogate models for simulating and designing high-Q piezoelectric acoustic wave resonators and filters. Traditional modeling techniques such as finite element methods or analytical approaches can be computationally intensive or limited in scope. ANNs offer a data-driven alternative that can learn complex electroacoustic behaviors […]Description: This thesis explores the application of artificial neural networks (ANNs) as surrogate models for simulating and designing high-Q piezoelectric acoustic wave resonators and filters. Traditional modeling techniques such as finite element methods or analytical approaches can be computationally intensive or limited in scope. ANNs offer a data-driven alternative that can learn complex electroacoustic behaviors […]
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09APR 2025
MA_eng
Development of RF fingerprinting methods for radio transmitters
Description Radio Frequency (RF) Fingerprinting offers the potential for rapid authentication of communication partners in future wireless communication systems. Potential application areas include mobile communications and radar applications. Other hardware-based methods, such as Physically Unclonable Functions (PUF), are related to RF Fingerprinting. The characteristics that enable RF Fingerprinting are tied to the respective RF hardware […]Description Radio Frequency (RF) Fingerprinting offers the potential for rapid authentication of communication partners in future wireless communication systems. Potential application areas include mobile communications and radar applications. Other hardware-based methods, such as Physically Unclonable Functions (PUF), are related to RF Fingerprinting. The characteristics that enable RF Fingerprinting are tied to the respective RF hardware […]
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