Modeling and optimization of cooperative interception and guidance allocation in multi-platform air defense

Abstract

In the multi-platform air defense combat, platforms cooperate to achieve best effect. In the traditional air defense cooperation, assigning interception units has been paid more attention. Based on the existing task allocation model, we added the cooperative guidance and time window constraints to accord with the modern battle mode. An allocation method based on decentralized auctions is also proposed. Each platform employs the heuristic method to choose proper target and confirm the execution time, then resolve the conflict by consensus rules. This method is robust for communication network, besides it can avoid the single point of failure. Simulation results show this algorithm is significantly effective and satisfies the demand of real time.