大地测量学与导航

一种GPS IIR-M型卫星超快星历钟差预报的高精度修正方法

  • 蔡成林 ,
  • 何成文 ,
  • 韦照川
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  • 1. 桂林电子科技大学信息与通信学院, 广西 桂林 541004;
    2. 广西精密导航技术与应用重点实验室, 广西 桂林 541004
蔡成林(1969-),男,博士,教授,主要从事卫星导航与无线通信研究。E-mail:chengcailin@126.com

收稿日期: 2016-01-13

  修回日期: 2016-04-02

  网络出版日期: 2016-07-28

基金资助

国家自然科学基金(61263028);中国科学院时间频率基准重点实验室开放基金(Y000YR1S01);广西无线宽带通信与信号处理重点实验室主任基金(GXKL0614107);桂林电子科技大学研究生教育创新计划(YJCXS201530)

A High-precision Correction Method of Ultra-rapid Ephemeris Clock Bias Prediction for GPS Block IIR-M Satellites

  • CAI Chenglin ,
  • HE Chengwen ,
  • WEI Zhaochuan
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  • 1. Guilin University of Electronic Technology, Guilin 541004, China;
    2. Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin 541004, China

Received date: 2016-01-13

  Revised date: 2016-04-02

  Online published: 2016-07-28

Supported by

The National Natural Science Foundation of China(No.61263028);The Open Fund of Key Laboratory of Time & Frequency Prinary Standards,CAS(No.Y000YR1S01);Guangxi Key Lab of Wireless Wideband Communication & Signal Processing Foundation(No.GXKL0614107);Innovation Project of GUET Graduate Education(No.YJCXS201530)

摘要

针对IGS超快星历钟差预报产品(IGU-P)精度较低及无法满足高精度实时PPP定位精度的问题,提出了一种GPS IIR-M型卫星超快星历钟差预报的高精度修正方法。该方法对预报值的第一个数据与IGU观测部分(IGU-O)数据的最后一个历元做差,根据差值对整个IGU-O差分序列的影响程度来确定精度修正的大小和方向,从而实现IIR-M型卫星高精度预报的效果。经过IGU实测数据的测试结果表明,在短期预报6 h范围内,本文提出的精度修正方法可使3种预报方案在原有预报精度基础上分别提升6.13%、3.9%和3.48%,预报精度分别控制在0.599 ns、0.570 ns和0.531 ns,且均优于IGU-P产品预报精度。

本文引用格式

蔡成林 , 何成文 , 韦照川 . 一种GPS IIR-M型卫星超快星历钟差预报的高精度修正方法[J]. 测绘学报, 2016 , 45(7) : 782 -788 . DOI: 10.11947/j.AGCS.2016.20160017

Abstract

A high-precision correction algorithm based on the block IIR-M satellites is proposed to improve the precision of IGS ultra-rapid predicted (IGU-P) products. In order to ensure that the real-time precise point positioning (RTPPP) with high positioning accuracy could come true, it is attempted to get the difference between the first prediction data and the last epoch of IGS ultra-rapid observed (IGU-O), and then to compute the value and determine the direction of accuracy revised value based on influence of the degree of residual value to difference sequence of IGU-O. The numerical examples with the data set of 19 IGU files showed that the prediction accuracy of proposed method was superior to three basic models and IGU-P within 6 hours, the rate of improved accuracy range from 3.48% to 6.13%, and average prediction accuracy of corresponding models were, in order,0.599 ns,0.570 ns and 0.531 ns.

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