旋转卫星激光测距数据分析与处理

发布时间：2018-04-23 05:13

本文选题：测量 + 经验模式分解　；参考：《中国激光》2017年05期

【摘要】：为解决传统的旋转卫星激光测距数据频谱分析方法运算量大、耗时长的问题,提出一种基于快速Lomb-Scargle算法的卫星激光测距数据处理方法。首先用经验模式分解方法来自适应地去除O-C残差中代表卫星轨道运动的低频趋势项;然后采用快速Lomb-Scargle算法对预处理后的数据进行频谱分析,得到相对应的周期图,进而分析卫星的自转速率。采用该方法处理了奥地利Graz站千赫兹测距系统测量得到的Ajisai卫星的数据,分析得出2010年5月Ajisai卫星自转的速率约为0.472Hz。并对4圈激光测距资料进行处理,结果表明,该方法可以将频谱分析运算量降低两个数量级,节省大量处理时间,为快速高效地处理大量的旋转卫星激光测量数据提供了新思路。
[Abstract]:In order to solve the problem that the traditional spectral analysis method of rotating satellite laser ranging data is time-consuming and time-consuming, a fast Lomb-Scargle algorithm based on satellite laser ranging data processing method is proposed. First, the empirical mode decomposition method is used to adaptively remove the low-frequency trend terms representing satellite orbit motion in O-C residuals, and then the fast Lomb-Scargle algorithm is used to analyze the spectrum of the pre-processed data, and the corresponding periodic diagram is obtained. Then the rotation rate of the satellite is analyzed. This method is used to process the data of Ajisai satellite measured by the KHz ranging system at Graz station in Austria. The result shows that the rotation rate of Ajisai satellite in May 2010 is about 0.472Hz. The processing of 4 cycles laser ranging data shows that this method can reduce the operation of spectrum analysis by two orders of magnitude and save a lot of processing time. It provides a new idea for fast and efficient processing of a large number of rotating satellite laser measurement data.
【作者单位】：中国科学院国家天文台;中国科学院大学;北京跟踪与通信技术研究所空间目标测量重点实验室;
【基金】：国家重大科研装备研制项目(ZDYZ2013-2)
【分类号】：P228.5

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