A Cognitive Architecture for Space Time Adaptive Processing

A cognitive radar can be conceived as a system that is able to autonomously and continuously change the parameters of both the transmitter and the receiver to optimise its performances in changing complex and changing environment with the available resources. In this paper, we implement a simple rule-based form of cognitive radar to optimise ground moving target imaging. The system architecture is presented that highlights the how cognition is implemented into STAP processing to optimise STAP filtering performances. Some preliminary results are shown based on recently acquired real airborne radar data.