反辐射导弹抗目标雷达关机时效性分析

Timeliness analysis on antagonism against the radar stopping radiating of Anti-Radiation Missile

摘要:

抗目标雷达关机是反辐射导弹的技术难题，也是关键问题。针对基于目标状态估计的抗目标雷达关机方案，将自适应无迹卡尔曼滤波(UKF)算法应用于抗雷达关机措施中。利用扩展卡尔曼滤波(EKF)、UKF和自适应UKF算法，对反辐射导弹抗关机性能进行了仿真实验。实验结果表明，自适应UKF算法在对抗雷达短时关机方面具有明显的优越性，对于目标雷达长时间的情况，需考虑结合使用其他抗关机措施。

Abstract:

The antagonism against the radar stopping radiating is a key and tough problem to Anti- Radiation Missiles(ARM). Aiming at the scheme of antagonism against the radar stopping radiating based on target state estimation, the adaptive Unscented Kalman Filter(UKF) is applied to the measure against the radar stopping radiating. The EKF/UKF and the adaptive UKF algorithms are used in the simulation for anti-radiation missile against the switching-off. The results indicate that the adaptive UKF is obviously superior to other algorithms against short time switching-off of the radar. For the case of long time switching-off of the radar, other measures against the radar stopping radiating should be considered.