Fast Penetration Decision-making Technology for UAV based on Improved Case-based Reasoning

In a threatening environment, this paper proposes a comprehensive strategy combining database matching method and traditional artificial potential field method for UAV penetration missions, and presents a fast penetration decision-making method for UAV based on improved case-based reasoning. In response to the characteristics of multiple threat factors and wide attributes, a database-based reasoning method is applied to improve the real-time decision-making by solving feasible solutions rather than optimal solutions. In response to the volatile threat environment and limited existing databases, the artificial potential field method is applied to obtain penetration routes and automatically expand the database. The simulation results show that the new method combines the correctness of decision-making with real-time performance.