摘要
从多项式拟合出发,提出一种将中点平滑与滑动弧段相结合的动弧平滑平均算法,旨在提高弹道导弹轨道测定与落点预报的精度,该方法利用长测量数据段抑制随机误差的同时通过短弧段滑动减小了拟合误差。文中作了误差分析,证明动弧平滑平均法能够提高弹道导弹轨道测定与落点预报的精度,并给出算法的具体流程及弹道轨道根数的计算方法。
Starting from polynomial fitting, a moving-arc smoothing averaging algorithm, which combines mid-point smoothing with moving-are, is presented. This algorithm aims at improving the precision of the ballistic missile orbit determination and the impact point predicting. It is proved in the paper that the algorithm restricts the random error and the polynomial-fitting error. The flow of the algorithm and calculation method of the ballistic missile orbital elements are described.
出处
《现代雷达》
CSCD
北大核心
2009年第7期55-58,共4页
Modern Radar
关键词
弹道导弹
中点平滑
动弧
ballistic missile
mid-point smoothing
moving-are
