A Radar-Jammer Zero-Sum Repeated Bayesian Game

We consider an instance of a radar jamming counter-measure problem, where the radar and the jammer have uncertainty about the radar environment (for instance, about the noise variance and the radar cross section variance), and they have to account for these uncertainties with statistical priors. The radar-jammer interaction is modelled as a two-player zero-sum repeated Bayesian game (also called an incomplete information game). We discuss the computation of the optimal strategies and present numerical results that illustrate the optimal strategies in an example.