一种实时探测参考站网络中周跳的新算法

基金项目: 国家自然科学基金资助项目(40271091);国家教育部博士点基金资助项目(20040613025);国家教育部优秀教师计划资助项目(2003109);四川省青年软件创新工程资助项目(2005641)。

详细信息

A New Algorithm for Cycle Slips On-Line Detection in Reference Station Network

¹ Center for Geomatic Information Engineering, Southwest Jiaotong University, 111 North Yiduan, Erhuan Road, Chengdu 610031, China

Funds: 国家自然科学基金资助项目(40271091);国家教育部博士点基金资助项目(20040613025);国家教育部优秀教师计划资助项目(2003109);四川省青年软件创新工程资助项目(2005641)。

摘要: 提出一种应用于参考站间周跳探测的新算法。该算法使用双差双频相位、参考站精确的坐标和精密星历构造观测量,并用卡尔曼滤波来估计电离层参数,在给定显著水平的情况下,可以使用单个或少量历元以假设检验的方法探测和修复周跳。该算法将探测和修复合二为一,对每个历元的周跳都进行处理。
- GPS /
- 周跳 /
- 探测与修复 /
- 参考站网络 /
- 卡尔曼滤波器
Abstract: A new method is proposed and developed for the reference station network based applications. In this approach, double-differenced dual-frequency phase measurements and the known coordinates of reference stations as well as the precise ephemeris are used to rebuild observation equation, and then a Kalman filter is designed for the parameters estimation, i.e. ionosphere delay etc. Experimental study shows cycle slip can successfully be detected and reconstructed within a single-epoch or a few epochs through a hypothesis test under the given confidence level. The detecting and repairing are put together in the approach to solve the cycle slip epoch-to-epoch.
- GPS /
- cycle slip /
- detecting and repairing /
- reference station network /
- Kalman filter