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针对传统武器目标分配(WTA)方法中将目标视为彼此相互独立实体的不足,提出一种联合目标模型。该模型能够反映攻击方攻击意图及其对目标内在关系的理解。将贝叶斯优化算法(BOA)引入到协同攻击优化领域中。在目标分配的基础上定义一种武器-目标映射原则,通过该原则实现了无人作战飞机(UCAV)编队对联合目标的协同攻击。仿真结果表明了联合目标模型和武器-目标映射原则的合理性,通过与遗传算法(SGA)结果的比较说明了引入贝叶斯优化算法的必要性。
In view of the deficiency of the traditional target assignment of weapons (WTA) method, which treats the objects as independent entities, a joint goal model is proposed. The model can reflect the attacker’s intention of attack and its understanding of the inner relationship of the target. The Bayesian Optimization Algorithm (BOA) is introduced into the field of collaborative attack optimization. Based on the target allocation, a weapon-target mapping principle is defined. Through this principle, UCAV formations cooperate attacks on joint targets. The simulation results show the rationality of the joint target model and weapon-object mapping principle. The necessity of introducing Bayesian optimization algorithm is illustrated by comparing with the results of genetic algorithm (SGA).