Weapon-Target Allocation Algorithm for Cooperative Guidance in Multi-Vehicle Offensive and Defensive Engagement Scenarios

In the context of multi-vehicle cooperative guidance offensive and defensive engagement scenarios employing differential game guidance laws, this paper proposes, on the defending party, a weapon-target allocation (WTA) algorithm based on the analysis of all vehicles' miss distances under each possible allocation. To achieve this goal, a nonlinear simulation model for multi-vehicle cooperative guidance offensive and defensive engagement scenarios is established. To ensure the real-time performance and computational efficiency of the WTA algorithm, this paper uses a combination of offline and online calculations through the adjoint method to compute the miss distances of all vehicles. Based on the nonlinear simulation model, a linear model is constructed using the three-party differential game guidance laws, and an adjoint model is subsequently developed from the linear model. Infeasible allocation schemes are excluded using the intercept zone, while priority is given to allocating missiles located within the no-escape zone, thereby improving the efficiency of the allocation algorithm.