多平台信息下机动目标拦截中末制导交班研究

摘要

The probability of guidance handover from midcourse to terminal of anti-aircraft missile's seeker will decrease when multi-platform information especially sky-based sensor is used,which is caused by the accuracy decrease and target maneuver error.To solve this problem,the measurement error transmission model of the air-based platform is constructed,and the current statistical model and the converted measurement Kalman filtering algorithm are used to detect the target maneuver.The handover performance simulation is performed using the seeker target-searching algorithm based on the target location forecast.Using these models can improve the handover performance of guidance from midcourse to terminal of the anti-aircraft missile,which is verified by the simulation results.%针对多平台信息支持下,空基探测平台等外部平台相对地基平台信息精度降低,以及数据率降低带来目标机动误差影响增大,导致防空导弹武器导引头中末制导交班概率降低的问题,建立了空基平台探测信息误差传递模型,运用“当前”统计模型和转换坐标卡尔曼滤波,对目标机动进行预测.基于目标位置预测,推导采用导引头搜索交班算法,进行了交班性能仿真.仿真结果表明,采用目标机动预测和导引头搜索算法,在信息精度和数据率降低的情况下,能够提升防空导弹武器系统中末制导交班能力.