舰载机试飞数据的移动基准区间与牛顿插值处理

摘要

Analysis of the flight test data has characteristics of a large amount of data,subsection loading and interception.For pretreatment process of flight data,conventional method of global statistical error analysis is sometimes difficult to meet the requirements.First,the establishment of error correction model is based on the moving reference interval and Newton interpolation.Secondly,it is applied to process the flight test data.Finally,a case is used to verify its effectiveness.%分析飞行试验数据具有数据量大,需分段加载和截取的特点,针对试飞数据预处理过程中常规全局统计误差分析方法有时难以满足要求的问题,建立移动基准区间和牛顿插值相结合的误差修正模型,提出移动基准区间牛顿插方法,并应用于飞行试验数据处理中,最后通过实例验证其有效性.