Applying deep learning to time series of radar data
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TNO
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Den Haag, Netherlands, Europe

The focus of this assignment is the use of pulse-compressed or raw radar data for training a deep neural network. What is the potential of this approach? What are possible applications for which this approach has added value? For instance, could pulse compression, beamforming and/or detection be combined in a single neural network and if so what is the benefit? Radar measurements are available for testing different approaches. You will perform this assignment in the Department of Radar Technology. We are a passionate and creative group of professionals (60 people) dedicated to the specification, development and evaluation of innovative, high-performance MMICs, miniaturised and integrated RF subsystems, antennas and front-ends. The department is at the heart of novel, game-changing radar system and signal processing concepts for the military, space and civil domains.

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