测绘学报

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基于高斯过程的精密卫星钟差加密

刘冬   

  1. 西安测绘研究所
  • 收稿日期:2011-03-24 修回日期:1900-01-01 出版日期:2011-05-05 发布日期:2015-06-24
  • 通讯作者: 刘冬

Densification of Precise Satellite Clock Errors based on Gaussian Processes

  • Received:2011-03-24 Revised:1900-01-01 Online:2011-05-05 Published:2015-06-24

摘要: 在GPS数据处理中,经常需要高采样率的精密星历钟差参数,通常将IGS提供的15min或5 min的精密卫星钟差采用拟合或插值的方法来加密到用户需要的间隔。本文将高斯过程方法应用到精密卫星钟差加密中,通过选择合适的核函数,将5 min间隔的钟差数据插值到30s间隔。将结果与IGS提供的30s精密钟差数据和四阶多项式拟合插值方法得到的结果进行了比较,结果表明,高斯过程方法具有较高的加密精度,适用于GPS所有在轨卫星的原子钟钟差的加密,达到了厘米级精度。

Abstract: In the GPS data processing, it always needs the high-sampling data of the precise clock errors. The general method is to fit or interpolate the 15min or 5min interval precise clock errors, which are provided by IGS, to the user needed interval. In this paper, the Gaussian processes (GP) method is used to densify the 5min interval clock errors to 30s interval with a suitable kernel function. The densification results are compared with the IGS data and the densified clock errors using the four order polynomial interpolation method. The results indicate that the GP method can provide high densification precision and is applicable to densify the clock errors of all GPS on-board atom clocks. The accuracy is up to the centimeter level.