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高速采样测量数据处理方法研究
引用本文:杨潇,谢京稳,郭军海,刘元. 高速采样测量数据处理方法研究[J]. 飞行器测控学报, 2008, 27(5): 49-52
作者姓名:杨潇  谢京稳  郭军海  刘元
作者单位:北京跟踪与通信技术研究所·北京·100094;北京跟踪与通信技术研究所·北京·100094;北京跟踪与通信技术研究所·北京·100094;北京跟踪与通信技术研究所·北京·100094
摘    要:探讨在新一代高精度测速体制下,外测数据原有处理方法应用到高采样率数据时的缺陷,提出将原始采样数据分段、分层进行多次处理,结合二步最小二乘、等距样条拟舍和区间长度自适应的时间多项式中心平滑技术,可降低每次处理的数据量,并逐步滤除周期噪声与色噪声,提高了处理结果的精度。

关 键 词:高采样率  多项式中心平滑  样条拟舍  二步最小二乘

Study on Methods of High Sampling Rate Data Processing
YANG Xiao,XIE Jing-wen,GUO Jun-hai,LIU Yuan. Study on Methods of High Sampling Rate Data Processing[J]. Journal of Spacecraft TT&C Technology, 2008, 27(5): 49-52
Authors:YANG Xiao  XIE Jing-wen  GUO Jun-hai  LIU Yuan
Affiliation:(Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094)
Abstract:This paper proposes a post-flight data processing method for high precision velocity-measuring system. The method features significant improvement over traditional methods as it is used for processing high sampling rate data. The method divides data to decrease the workload of each filtering. As a result of filtering of the relative noise of each paragraph with two-step least square technique, then filtering the periodic noise with equally spaced knots spline, and finally filtering the random noise by polynomial central smoothing with the paragraph's length, data processing accuracy is increased.
Keywords:High Sampling Rate  Polynomial Center Smoothing  Spline Fitting  Two-step Least Square
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