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Drones represent a key challenge for modern radar systems. They are very difficult to detect due to their small size, low flight profile and slow speed. This project investigates how to improve
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, target recognition and shape estimation, data association, as well as intention prediction, beyond the state of the art. In order to support machine learning, the project will make use of historical radar
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physics, or related fields). Advanced Training / Specializations: Radar. Computer Skills / Operation and Programming (required and proficiency level): Microsoft Office, advanced level. Foreign Languages
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) provides research and education, the Swedish Institute of Space Physics (IRF) focuses on space plasma research and instrument development, and EISCAT Scientific Association carries out radar observations
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) provides research and education, the Swedish Institute of Space Physics (IRF) focuses on space plasma research and instrument development, and EISCAT Scientific Association carries out radar observations
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with multitarget estimation for direction-of-arrival (DOA) detection and tracking in radar theory [12]. Graphs are a powerful data structure to represent relational data and are widely used to describe
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Perspective Integration Through Work? Multidimensional Integration Radar, Employment Trajectories and Life Strategies of Migrants in Czechia Regional and sectoral dynamics of (foreign) investments in strategic
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the design and optimization of multistatic and multifrequency radar architectures for near-field 3D imaging. - Contribute to the electromagnetic modeling of radiating systems, wave-object interaction, and
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properties. Optical systems may provide excellent resolution on a cloud-free day. Synthetic aperture radars (SAR) deliver image products even through clouds, but they are expensive. Our main research question
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systems may provide excellent resolution on a cloud-free day. Synthetic aperture radars (SAR) deliver image products even through clouds, but they are expensive. Our main research question is: How can small