机会约束规划在地对空雷达干扰资源优化分配中的应用

应用机会约束规划理论,研究了反空袭作战中地对空雷达干扰资源优化分配问题。首先,在给出雷达威胁等级判定模型的基础上,利用干扰压制区建立了地对空雷达干扰效果评定模型。其次,根据所建干扰效果评定模型,综合考虑干扰资源分配过程中存在的不确定因素,建立了双层模糊机会约束混合整数规划模型。最后,利用可能性测度理论,将干扰资源优化分配模型清晰化为双层混合整数规划模型,通过求解混合整数线性规划来获取优化分配模型的最优解。仿真算例表明:所建的干扰资源优化分配模型不仅能够有效处理分配过程中的不确定信息,而且能够在本级干扰效果最大化的同时实现全局最优化;模型的求解算法针对性更强,非常适合求解该问题。

Application of Chance Constrained Programming in Optimal Distribution of Ground-to-Air Radar Jamming Resource

Using fuzzy chance constrained programming, the paper does some research on the problem of optimal distribution of ground-to-air radar jamming resource under air-defense background. Firstly, based on the model of radar menace grade assessment, using jamming oppressive area, the model of radar jamming effect evaluation is built. Secondly, considering uncertain factors existent in the process of distribution, the bilevel fuzzy chance constrained mixed integer programming for jamming resource optimization assignment is presented. Finally, the bilevel mixed integer programming is obtained by the theory of possibility estimation. Then the optimal solution can be obtained by using the algorithm of mixed integer linear programming. The example indicates that the application of the optimal distribution model can not only deal with uncertain information but also achieve overall optimization when all comes to all. The algorithm of the model is of more pertinence.