Cognitive radar experiments with CODIR

This paper presents first experimental results from a recent outdoor campaign with the Cognitive Detection, Identification and Ranging (CODIR) testbed. First, the CODIR testbed, which consists of an adaptive radar sensor and a cognitive controller which calculates the optimized sensor parameters is presented. In a second part, we describe the campaign goals, the test design and the measurement data. Finally, the optimisation algorithms are applied to the collected data in order to get an optimized radar parameter set at each track update. Given a pre-defined performance goal in term of detection rate and track quality, the controller adapts bandwidth, pulse repetition frequency, integration time and pulse width such that time and bandwidth resources are minimized. The sensor just needs the resources to fulfil its performance goal and releases unused resources for other potential tasks.