A Robust Task AssignmentMethod for Suppressive Jamming under UAV Failures

Task assignment is critical for multi-UAV cooperative suppression of networked radars. However, UAV failures necessitate rapid task reassignment, while traditional centralized methods often suffer from slow convergence, high computational complexity, and poor robustness. To address these challenges, this paper proposes a robust task assignment method for suppression jamming under UAV failures. Specifically, the motion model of high-value target, the UAV–radar matching model for suppression jamming, and the UAV failure model are constructed. Based on these models, the assignment problem is formulated as an integer programming problem with time-varying constraints. A distributed task assignment algorithm is then developed, leveraging a consensus auction mechanism to enable decentralized task assignment. Simulation results demonstrate that the proposed method achieves effective and robust task reassignment for suppression jamming in the presence of UAV failures.