摘要
为解决弹道导弹的遥外测数据时间零点对齐问题,提出了特征点判别法和数学推断法两种时间零点偏差修正方法。首先,结合遥外测数据处理工作系统地分析了影响时间零点精度的主要原因,然后推导出时间零点偏差与遥外差数据的关系模型,基于以上分析提出了两种时间零点对齐方法,利用特征点判别法发现大于数据采样周期的零点偏差,利用数学推断法修正小于数据采样周期的零点偏差。用本方法处理的数据,可以对制导工具误差系数和时间零点偏差进行统一评估,在零点偏差修正到T/2之后,在一定的环境条件下,可以逐项分离并修正制导工具误差各项系数。
To solve the problem of time-zero alignment for telemetry and tracking data of ballistic missile,the feature-point discriminatory method and maths inference algorithm were presented to correct time-zero deviation.Firstly,the main causes for time-zero deviation were analyzed systematically according to the telemetry and tracking data processing procedure.Then,the relation model between time-zero deviation and telemetry and tracking difference data was deduced.At last,two time-zero alignment methods based on the above analysis were put forward.The feature-point discriminatory method was utilized to find out time-zero deviation whose data-sampling period was more than one sampling period,and the maths inference algorithm was used to modify the time-zero deviation whose data-sampling period is less than one sampling period.The data,processed by this method,could be used to uniformly evaluate the guidance instrument error coefficients and time-zero deviation.After the time-zero deviation was modified to less than half a cycle,all the error coefficients of guidance instrument could be separated and corrected one by one under certain environment conditions.
出处
《中国惯性技术学报》
EI
CSCD
北大核心
2010年第3期374-377,共4页
Journal of Chinese Inertial Technology
关键词
遥外测数据
时间零点对齐
特征点判别法
数学推断法
telemetry and tracking data
time-zero alignment
feature point discriminance
maths inference method