摘要
针对以前的落点预测修正算法由算法误差引起的落点散布圆概率误差偏大的问题,提出了基于比例因子的改进落点预测修正算法。该算法以经典落点预测修正算法为基础,取二维弹道修正引信每秒纵向与横向最大修正能力的比值为比例因子,改进引信控制滚转角的计算。该算法和以前的落点预测修正算法相比,充分考虑了二维弹道修正引信修正能力变化情况,提高了算法精度,从而减小由算法误差引起的落点散布圆概率误差。仿真结果表明,该算法有效减小了由算法误差引起的落点散布圆概率误差。
The circular error probability caused by the error of previous impact point predication correction algorithms is rather big.An improved impact point predication correction algorithm based on the scaling factor was proposed.The improved algorithm based on the classical algorithm improved the calculation of the controlled roll angle of the fuze by means of the scaling factor which was the ratio of the longitudinal correction ability per second of the two-dimensional trajectory correction fuze.Compared with the previous algorithms,the improved algorithm improved the algorithm accuracy by giving full consideration to the change of the correction ability.Hence the improved algorithm decreased the circular error probability caused by the algorithm error.Simulation results showed that the improved algorithm effectively reduced the circular error probability caused by the algorithm error.
作者
贺强
霍鹏飞
HE Qiang;HUO Pengfei(Science and Technology on Electromechanical Dynamic Control Laboratory,Xi＇an 710065,China)
出处
《探测与控制学报》
CSCD
北大核心
2018年第3期70-73,79,共5页
Journal of Detection & Control
关键词
二维弹道修正引信
修正算法
落点预测
比例因子
算法精度
圆概率误差
two dimensional trajectory correction fuze
correction algorithm
impact point predication
scalingfactor
algorithm accuracy
circular error probability
