基于遗传算法的雷达管控问题

Study on Management and Control of Radar Based on Genetic Algorithms

通过对雷达组网系统责任区保障问题的深入研究,以完成对责任区的保障任务为目的,使责任区各个高度层均满足一定联合探测概率和雷达覆盖系数为约束条件,以雷达网整体工作代价最小为目标函数,构建了有干扰情形对雷达的管理和控制(以下简称雷达管控)数学模型。运用改进的遗传算法对雷达管控模型进行求解,通过设定保护概率保存了最优个体的遗传性,通过合理的算法参数设置改善了算法的性能。仿真算例和实际应用结果表明,雷达管控达标率由管控前的36.54%上升到63.46%,达到100%,雷达管控结果符合管控要求,且雷达开机数量较少,采取的抗干扰措施合理,验证了模型和方法的有效性。

Based on an in-depth study on warning area security of radar network,this paper sets the cost of radar network’s overall operation as the objective function and proposes mathematical models for management and control of radar under circumstances with interference,aiming at accomplish the security mission within warning area on the basis of the constraint condition that the warning areas at different height can satisfy joint probability of detection and coefficient of radar coverage. We use a modified genetic algorithm for the calculation of radar management and control model,save the feature of the optimized individuals via defining the probability,and improve the algorithm through setting reasonable parameter. The simulation calculation and practical application prove that the model and the scheme are effective because the qualified rate of radar management and control meet the requirement （reaches 100%from 36.54%with the increment of 63.46%）,the number of operational radar reduced,and the anti-interference measures are reasonable.