Abstract:With new-arriving and updated fusion data, a dynamic awareness model against threats for UCAVs(Unmanned Combat Aerial Vehicles) based on Dynamic Bayesian Network (DBN) is constructed. Using parameters' change in relative DBN's transition, this dynamic awareness model leads to infer the main conditions that can be changed timely in multi-targets attack optimization within complicated aerospace surroundings. In the light of DBN's learning and reasoning algorithms, a coordination planning optimization algorithm f… Show more
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