模糊机会约束规划在雷达干扰资源优化分配中的应用

Application of Fuzzy Chance Constrained Programming in Optimal Distribution of Radar Jamming Resource

应用模糊机会约束规划理论,研究了不确定环境下的雷达干扰资源优化分配问题。在对雷达目标进行整合的基础上,综合考虑雷达干扰资源分配过程中的不确定因素,建立了双层模糊机会约束混合整数规划模型。并根据可能性测度理论得到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模型的最优解。计算实例表明方法的优越性和有效性。

According to fuzzy chance constrained programming, the problem of optimal distribution of radar jamming resource in uncertain environment is studied. Firstly, based on the integration of radar objects, uncertain factors during the distribution process of radar jamming resource are comprehensively considered to propose a bilevel fuzzy chance constrained mixed integer programming. Secondly, a bilevel mixed integer programming is obtained according to the theory of possibility estimation. Then the optimal solution can be obtained with the algorithm of mixed integer linear programming. Finally, the advantage and validity of this method are demonstrated with an example.