Abstract

In this paper, experimental results with the CODIR cognitive radar testbed are presented. Different optimization objectives for the tracking performance and/or the radar resource usage have been considered to test the optimization capability under various conditions. For that, a new generalized cost function has been defined that can be parameterized to the different objectives. The radar resource usage and the tracking performance has been analyzed using DGPS ground truth data. The system is able to adapt its radar parameter in real-time to meet one or a combinations of objectives. In the case of optimizing multiple conflicting objectives the relative prioritization can be adjusted and the system adapts its radar parameters accordingly.

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