The Multi-platform Target Reconnaissance Planning Method Based on Monte Carlo Tree and Fuzzy Relationship Matrix

Under the current information conditions, reconnaissance has become increasingly complex. Factors such as reconnaissance platforms, loads, constraints, and timeliness have significantly increased the competition for the use of various reconnaissance resources. This has reduced the rationality, fault tolerance, and efficiency of mission planning, making reconnaissance planning more difficult. This manuscript presents research on reconnaissance planning methods and evaluation systems under multi-platform conditions. The method proposes reconnaissance resource planning algorithms for satellites, drones, and aerosol balloon platforms based on economy, coverage, and timeliness. The algorithm is designed to plan reconnaissance resources and scheme design based on multi-platform collaborative requirements through simulation verification. This lays the foundation for multi-platform collaborative reconnaissance research.