Research on Path Planning Algorithm for Collaborative Reconnaissance of Unmanned Aerial Vehicles

With the rapid development of drone technology, drones have been widely used in the field of military reconnaissance. Collaborative reconnaissance of drone swarms can fully leverage the advantages of clustering and improve reconnaissance efficiency. This article models the terrain and radar threats to the movement of drone swarms based on the characteristics of their combat missions. Based on the motion model, the path planning algorithm for unmanned aerial vehicles was studied, and an efficient improved algorithm based on the Hungarian algorithm was proposed. The algorithm was simulated and analyzed, which can provide some reference for the engineering practice of path planning for unmanned aerial vehicle cooperative reconnaissance.