Optimizing radar detection parameters using evolutionary algorithms

We present a framework for setting the detection parameters of a radar processor by use of evolutionary algorithms. The radar processor consists of a dwell coherent detector processing non-equidistant samples [1]. In order to focus on the framework fundamentals, the detector only provides two detection parameters determining the noise threshold and the post-processing clustering.