无人值守作战系统目标分配与发射时序规划方法OA

To address the real-time and efficiency requirements for multi-target cooperative interception by unmanned combat systems in dynamic battlefield scenarios,this paper proposes a greedy target assignment and fire scheduling method based on dynamic time window(GTAFS-DTW).By constructing a relative motion model between combat units and targets,the proposed method incorporates engagement distance constraints,task execution constraints,and target maneuver characteristics.a dynamic time window screening mechanism is designed with the optimization objective of minimizing engagement time and impact time difference.On this basis,a hierarchical greedy strategy is adopted to prioritize unit-target pairs with overlapping feasible engagement intervals,and temporal cooperative optimization is achieved through iterative adjustment of window boundaries and fire scheduling.Simulation results demonstrate that GTAFS-DTW effectively reduces impact time deviation to within 0.5 s in both lateral and longitudinal queue scenarios compared with traditional discrete particle swarm optimization(DPSO),significantly enhancing computational efficiency and satisfying real-time optimization requirements.