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.
Game theoretic distributed waveform design for multistatic radar networks
IEEE Transactions on Aerospace and Electronic Systems ; 52 , 4 ; 1855-1865
2016-08-01
411889 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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