反辐射空地导弹目标无源定位算法及误差分析

Passive Target Localization Algorithm and Error Analysis for Anti-radiation Air-to-ground Missile

针对反辐射导弹在遭遇雷达突然关机而无法有效打击目标的问题,基于直升机实施反辐射导弹攻击的态势,构建三维定位的数学模型,然后利用改进卡尔曼滤波推导得到无源定位算法,在加入纯惯导和组合导航误差后对滤波前后高低角、方位角以及X,Y,Z方向定位精度进行仿真及分析,对算法的精度和可行性进行跑车实验分析验证。结果表明,所提出的基于改进扩展卡尔曼滤波(EKF)的无源定位算法精度高于传统EKF,定位精度小于4%、收敛时间小于30 s,满足反辐射导弹目标无源定位需求,验证了算法可行性。

Aiming at the situation that the anti-radiation missile cannot strike the target effectively in the case of sudden radar shutdown,according to the posture of the helicopter implementing the anti-radiation missile attack,the mathematical model of three-dimensional positioning is constructed,and the passive positioning algorithm is obtained by using the improvement of Kalman filtering derivation,and the simulation verification and analysis are carried out for the positioning accuracy of the altitude angle,azimuth angle,as well as the X,Y,and Z directions before and after the addition of the pure inertial guidance and the combination of the navigation error.After adding pure inertial guidance and combined navigation error,the algorithm is simulated to verify and analyze the positioning accuracy in X,Y,and Z directions before and after filtering.The results show that the accuracy of the proposed passive positioning algorithm based on improved EKF is higher than that of the traditional EKF,the positioning accuracy is less than 4%,and the convergence time is less than 30 s,which meets the demand for passive positioning of antiradiation missile targets,and verifies the feasibility of the algorithm.