Game theoretic distributed waveform design for multistatic radar networks

We examine the interaction of multiple-input multiple-output based clusters of radars within a game theoretic framework, using potential games. The objective is to maximise the signal-to-disturbance ratio of the clusters of radars by selecting the most appropriate waveforms. We prove that the proposed game theoretic algorithm converges to a unique Nash equilibrium using discrete concavity and the larger midpoint property. As a result, each cluster can determine the best waveform for illumination (equilibrium) by strategising the actions of the other clusters.