The Strength Pareto Evolutionary Algorithm 2 (SPEA2) applied to simultaneous multimission waveform design

This paper furthers the development of the application of Evolutionary Computation, specifically Genetic Algorithms (GAs) to the design of simultaneously transmitted orthogonal waveforms. The goal of the application is to determine a suite of "optimal" waveforms (in the Pareto sense) for a single platform radar system performing multiple radar missions simultaneously. The waveform suite is determined by applying the Strength Pareto Evolutionary Algorithm 2 (SPEA2) developed by Zitzler, Laumanns & Theile [1] to find waveform parameters that successfully realize a set of objectives particular to a variety of radar missions. The objectives to optimize are dictated by the particular missions of interest. The mapping of these objective functions to actual radar performance parameters is used in the SPEA2 algorithm to determine how best to simultaneously perform multiple radar missions such as GMTI, AMTI, SAR etc. using a single radar system in a Pareto optimal sense. Preliminary results are presented for a scaled down multi-mission multi-objective function scenario.