Scheduling approach of mobile radar/infrared radiation control
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摘要: 针对降低移动式雷达/红外协同跟踪时的辐射风险问题，提出了一种移动式雷达/红外辐射控制的调度方法。首先，结合平台和目标的运动状态建立了目标跟踪模型，利用容积卡尔曼滤波预测跟踪精度；并引入辐射度影响建立了雷达辐射模型，给出了雷达辐射状态和系统辐射代价的预测方法；然后，以跟踪精度满足任务要求为约束条件，以长期辐射代价最小化为优化目标，构建了长期调度的目标函数；最后，针对求解时计算复杂度高的难题，设计了一种决策树搜索算法。仿真结果表明，文中所提调度方法与短期调度相比，具有更好的辐射控制效果，在决策步长为3时，其辐射代价下降了26.5%；且与固定位置调度比，文中方法能在改善跟踪性能的同时，降低辐射代价，在跟踪低速目标时，其跟踪误差和辐射代价分别下降了29.9%和30.5%。Abstract: To reduce the radiation risk of mobile radar/infrared cooperative tracking, a scheduling approach of mobile radar/infrared radiation control was proposed. Firstly, a target tracking model was established based on the moving state of the platform and the target, and the tracking accuracy was predicted by using the cubature Kalman filter. Secondly, the radar radiation model was established by introducing the radiation effect, and the prediction methods of the radar radiation status and the system radiation cost were given. Then, the objective function of non-myopic scheduling was constructed with tracking accuracy satisfying task requirements as constraints and non-myopic radiation cost minimization as optimization objectives. Finally, a decision tree search algorithm was designed to solve the problem of high computational complexity. The simulation results show that the proposed scheduling approach has better radiation control effect than the myopic scheduling approach. When the decision step is 3, the radiation cost decreases by 26.5%. Compared with the fixed position scheduling approach, the proposed approach can improve the tracking performance and reduce the radiation cost. When tracking low-speed targets, the tracking error and radiation cost are reduced by 29.9% and 30.5%, respectively.
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Key words:
- radar /
- infrared sensor /
- sensor scheduling /
- radiation control /
- decision tree
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