针对强对抗条件下导弹复合制导寻的问题,提出了一种雷达/红外序贯滤波跟踪并控制雷达间歇工作算法。该算法在跟踪中使用了基于交互多模型和不敏卡尔曼(IMM-UKF)的序贯滤波方法,并在滤波过程中利用状态估计协方差与测量误差方差进行比较控制雷达间歇工作。仿真结果表明,与采用数据压缩滤波的跟踪算法相比,该算法具有更高的跟踪精度,并且能在保证一定的跟踪精度的前提下合理的控制雷达辐射。

In view of the compound homing problem of a missile under strong counterwork, a radar/IR sequential filtering fusion algorithm which controls radar under intermittent-working state was proposed in radar/IR compound guidance system. In the algorithm, the sequential filtering fusion algorithm based on interacting multiple model and unscented Kalman filter (IMM-UKF) was used for target tracking. Through comparison between the state estimation covariance with the measurement error variance, the algorithm controls radar under intermittent-working state. The simulation results show that, compared with the data compression target tracking, the algorithm has higher tracking precision, and can reasonably control radar radiation on the premise of considerable tracking precision.