基于MVEKF的空地反辐射导弹被动定位研究

Research on Air-to-ground Anti-radiation Missile Passive Location Based on MVEKF

采用捷联惯导系统的空地反辐射导弹在攻击过程中,容易因敌雷达突然关机而丢失目标,针对此问题,研究了新的抗目标雷达关机制导方法,该方法将修正极坐标系下的扩展卡尔曼滤波(EKF)算法在修正协方差扩展卡尔曼滤波(MVEKF)算法应用于目标雷达被动定位。仿真结果表明,与EKF算法相比,MVEKF算法是一种性能良好的滤波方法,可以用于解决空地反辐射导弹对目标雷达的被动定位问题。

The application of the extended kalman fihering （EKF） algorithm and the modified covariance kalman filtering （MVEKF） algorithm in the modified polar coordinate system on target radar passive location for the air-to-ground anti-radia- tion missile with strap-down inertial navigation system （SINS） are studied in the paper. The simulation result shows that the MVEKF algorithm has good performance and can be used to solve the target radar passive location problem for air-to-ground anti-radiation missile compared with EKF algorithm.