单台脉冲雷达火箭子级落点预报稳健性方法

Rubust Method on Impact Point Prediction of Rocket Debris Using Single Pulse Radar

火箭残骸的回收是每次航天任务必不可少的环节。对于残骸进行准确实时落点预报可以很大程度上减少地面搜索的时间,尽快回收未爆火工品,保证运载火箭落区安全。论文设计了一种稳健性算法流程,在算法层对空气阻力系数进行插值同时考虑高空风的影响,增强了算法的准确性;在策略层利用预测散布平面的椭圆中心作为预测落点,增强了算法的稳健性。利用实测数据进行验证,对于飞行距离大于1000km的火箭,残骸落点解算的误差比传统算法减少了85%,残骸搜索面积减少了97.6%,证明文中提出算法的有效性。

The recovery of rocket debris is an essential part of every space mission.Accurate real-time landing prediction for debris can greatly reduce the time of ground search,recover unexploded explosives as soon as possible,and ensure the safety of launch vehicle landing area.In this paper,a robust algorithm flow is designed.The accuracy of the algorithm is enhanced by interpo⁃lating the air resistance coefficient in the algorithm layer while taking into account the influence of high-altitude wind.The robust⁃ness of the algorithm is enhanced at the strategy level by using the ellipse center of the predicted scatter plane as the predicted land⁃ing point.Using the measured data,the error of the debris calculation is 85%less than that of the traditional algorithm and the search area of the debris is 97.6%less for rockets with a flight distance of more than 1000 kilometers,which proves the effectiveness of the algorithm proposed in this paper.