基于回归型支持向量机的空战目标威胁评估

Target threat assessment of air combat based on support vector machines for regression

空战目标威胁评估是协同多目标攻击中的关键问题.针对传统空战目标威胁评估方法在确定权重系数方面的不足,提出了一种新的基于回归型支持向量机的评估方法.在分析了现有的空战目标威胁评估方法中距离威胁模型存在缺陷的基础上,提出了改进的距离威胁模型.建立了基于回归型支持向量机的空战目标威胁评估模型,利用该模型对想定的空战目标进行了威胁评估.仿真结果表明,该方法具有很好的预测能力,可以快速、准确地完成空战目标威胁评估.

Target threat assessment method for air combat was a key problem of cooperative multiple target attack. Aiming at the deficiencies of traditional target threat assessment method for air combat in calculating the weights, a new assessment method based on support vector machines for regression was proposed. An improved distance threat model was proposed based on analyzing the existing target threat assessment methods for air combat which had disadvantages in distance threat model. The model of target threat assessment for air combat was established based on support vector machines for regression, then using this model the threat of some supposed air combat target was evaluated . The simulation results show that the method has good ability of forecast, which can accomplish target threat assessment for air combat fleetly and exactly.