多试飞数据流文件的融合处理

Fusion processing of multiple data stream files from flight test

为了向型号科研提供一个高质量、高精度的统一时间基准的数据信息,根据型号试飞需求,将来自多个相同或不同类型的数据流文件的参数数据进行融合处理。介绍线形插值、时间逼近及采样保持的数据融合算法,比较分析相关算法不同情况下的有效性,为试飞数据流文件的融合处理提供了依据。

To provide a highquality and highprecision unified time benchmark data information for research projects,fusion processing of the parameter data from multiple same or different types of data stream files is often required according to the flight test demand. The data fusion algorithm for linear interpolation,time approaching and sample hold is introduced in this article. The effectiveness of relevant algorithms under different circumstances is compared and analyzed. It provided a foundation for fusion processing of flight test data stream files.