Arkadiusz Czuba
supervisor: Marek Nałęcz
The basic concept of cognitive radar enables radar systems to achieve intelligent adaption to a changeable environment using feedback facility from receiver to transmitter. Cognitive abilities can for example adjust waveform parameters, provide very short reaction time for environment changes and help to manage tasks in multi-function radars. Implementation of cognition can drastically improve performance of new and existing radar systems. Cognitive radar architectures are based on traditional perception-action cycle, but there is still lack of research in this field. I am going to investigate a new approach which maps integrates radar system functionalities onto human-level cognitive architectures, which are part of research in general artificial intelligence. This mapping will hopefully lead to expanding cognitive radar capabilities by meta-learning, situational awareness, short-term and long-term memories or reasoning. Second part of research will consider implementation of radar functionalities such as target detection, tracking, recognition, radar resource management or waveform generation with use of modern signal processing techniques, machine learning algorithms and optimization methods. The goal is to develop more reliable, robust and effective radar system.