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针对雷达导引头跟踪机动目标问题,建立了一种适于高机动目标探测的非线性系统模型,采用扩展卡尔曼滤波算法推导适用于弹载脉冲多普勒雷达机动目标探测的滤波模型,用以估计俯仰失调角、方位失调角、弹目相对速度和距离等信息,利用系统数学模型对目标加速度及弹目视线角速率进行解算估计。对标称弹道和极限弹道的跟踪仿真表明,所建立的系统模型和滤波设计方案,能够处理真实飞行中存在的部分信息缺失问题,对于极端情况下的遮挡问题也能在一定时间内保证较高的跟踪精度。
Aiming at tracking maneuvering target of radar seeker, a nonlinear system model suitable for maneuvering target detection is established. An extended Kalman filter algorithm is used to derive a filtering model suitable for maneuvering target detection of missile Doppler radar. Based on the information of pitch misalignment angle, misalignment angle, relative speed and distance of projectile, the system mathematical model was used to estimate the target acceleration and the angular velocity of the projectile. The simulation results of the nominal trajectory and the limit trajectory show that the proposed system model and filter design can deal with some missing information in real flight and can guarantee higher occlusion in a certain period of time Tracking accuracy.