基于序优化的多传感器协同雷达辐射控制

为了提高作战飞机的隐身性能,同时保证飞机的跟踪精度,提出了基于序优化（ordinal optimization, OO）的多传感器协同(multi-sensor collaboration, MSC)辐射控制方法。该方法基于交互式多模型-扩展卡尔曼滤波算法建立了MSC下雷达辐射控制(radar radiation control, RRC)的参数优化模型。在跟踪过程中,利用目标残差范数来确定雷达是否开机。针对RRC的参数优化模型,采用OO的方法对等间隔控制、实时控制和混合控制3种方式进行求解,分别得到3种控制方式最优的雷达辐射周期和辐射控制因子。仿真结果验证了混合控制方式优于另外两种控制方式,且表明OO方法能够保证以足够高的概率求得足够好的解。

Radar radiation control under multiple sensor synergy based on ordinal optimization

To advance concealment of combat aircraft and ensure tracking accuracy of combat aircraft, a multi-sensor collaboration radiation control method based on ordinal optimization (OO) is proposed. In this method, a parameter optimization model about radar radiation control is built based on the interaction multiple model-extend Kalman filter algorithm. During the process of target tracking, we use the target residual norm to determine the radar’s start up. For the model described previously, we use the OO method to solve the problems of equal interval control, real time control and hybrid control, and then the optimal radar radiation cycle and the radiation control factor of three control methods are obtained. The simulation results show that the hybrid control is better than the other two control methods and the OO method can find good enough solutions in high probability.