空战中协同干扰、探测、攻击任务分配

针对空战中协同干扰任务分配问题,根据己方飞机的干扰功率、干扰工作频段、干扰样式,敌方飞机雷达的工作功率、工作频段、抗干扰样式,建立了干扰功率优势、干扰频率优势、干扰样式优势;再考虑己方飞机的干扰作战能力以及敌我双方的空战能力指数建立了总的干扰优势,建立了协同干扰任务分配模型.根据干扰后敌方飞机的距离性能以及敌我双方的空战态势,对己方飞机对敌方飞机的探测能力、攻击能力进行了研究,建立了多机协同探测加攻击任务分配模型.采用遗传算法对建立的任务模型问题进行优化求解.仿真结果表明,这些模型能够有效地完成协同干扰、探测加攻击任务分配.

Cooperative jamming-detecting-attacking task allocation in air combat

To solve task allocation problem of cooperative jamming in air combat, according to jamming power, jamming frequency bands and jamming style of our aircraft together with radar working power, working frequency bands, anti-jamming style of enemy aircraft, advantage of jamming power, jamming frequency, and jamming style were established. Considering the jamming capability of our aircraft and air combat capability of both sides, the total jamming advantage was established, and cooperative jamming task allocation model was built. According to the distance performance of enemy aircraft after jamming and air combat situation for both sides, detecting capability and attacking capability of our aircraft to enemy aircraft were studied, and cooperative detecting and attacking task allocation model was set up. Genetic algorithm was used to optimize and solve those cooperative task allocation problems. The simulation results demonstrate that those models can accomplish cooperative jamming task allocation, cooperative detecting and attacking task allocation.