运载火箭飞行测量数据误差分析的小波方法  

Errors Analysis of Real Time Data Measured in Launch Vehicle Aviation Based on Wavelet

作　　者：樊友平[1] 陈允平[1] 黄席樾[2] 柴毅[2] 高波[3] 

机构地区：[1]武汉大学电气工程学院,武汉430072 [2]重庆大学自动化学院,重庆400044 [3]西昌卫星发射中心,西昌615000

出　　处：《宇航学报》2006年第1期61-68,共8页Journal of Astronautics

基　　金：国防预研基金(2000264)中国博士后科学基金(2004036135)

摘　　要：以提高火箭飞行跟踪测量数据处理精度为目的,结合弹道处理的实际,将小波理论运用于火箭弹道测量数据的分析。本文首先针对火箭飞行弹道测量数据的特征,应用小波理论建立厂弹道测量数据事后误差分析处理方法的框架模型,创建了雷达测量数据诸元的多项式和B样条时序分析模型,提出并验证了雷达测量数据的随机分布模型；其次,对受到噪声干扰时间段数据模型出现严重病态的情况,建立了基于多项式拟合和B样条函数选取有限时间段拟合的火箭弹道建模和预测的二次建模方法；最后,利用所提出的分析处理方法对某次任务两个测量站雷达弹道测量数据的分析,处理效果显著,精度理想。实验验证了上述方法是一种理想的弹道测量数据事后误差分析处理方法。To enhance the precision of rocket launching trajectory-measured data processing, wavelet transform was presented to process rocket launching trajectory-measured data of the real launching experiment, According to eharacteristic of the trajectory-measured data in launch vehicle aviation, the research adopted the Wavelet transform method to set up a framework model of processing errors of trajectory-measured data, created multinomial of trajectory-measured data and time sequence analysis model of B spline and then put forward as well as validated the random distribution model of radar measured data. Time-sect data model disturbed by noise often appears morbid state, so the research set up quadric modeling method of rocket trajectory modeling and trajectory prediction, which extracted finite time sect to match trajectory model based on rnultinomial function and B spline function in conic matching residual deviation graph. This paper finally described the use of this framework in processing a real case of radar trajectory-measured data. The experiment proved the precision and the effectiveness of the proposed approach, which is consequently a powerful tool in pos-flight data processing of trajectory measurement.

关 键 词：小波变换 误差分析 数学建模 运载火箭 

分 类 号：V554[航空宇航科学与技术—人机与环境工程] R446[医药卫生—诊断学]