两步法快速解算编队卫星GPS模糊度

王海涛; 欧吉坤; 袁运斌

两步法快速解算编队卫星GPS模糊度

中国科学院测量与地球物理研究所动力大地测量重点实验室, 武汉 430077

基金项目: 国家自然科学基金资助项目(40674012);国家863计划资助项目(2007AA12Z305, 2007AA12Z311)

详细信息

作者简介:
王海涛(1979-),男,山东滕州人,博士生,whigg_wang@hotmail.com.

中图分类号: V 557.1
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- 被引次数: 0
出版历程
- 收稿日期: 2008-09-10
- 网络出版日期: 2009-09-30

Rapid resolution of GPS ambiguities of satellite formation flying with two-step method

Key Laboratory of Dynamic Geodesy, Institute of Geodesy & Geophysics of CAS, Wuhan 430077, China

摘要

摘要: 为克服卫星编队飞行实时相对定位中双频模糊度解算速度慢的缺点,结合扩展Kalman滤波(EKF,Extended Kalman Filter),首先采用少数个历元(如10个)相位平滑伪距相对定位结果与 L₆的平均值对滤波初始化,再根据两步法解算双频模糊度,即先解算并正确固定宽巷模糊度,获得较准确的基线分量估值,然后采用选权拟合方法,将基线分量作为约束条件解算并固定双频模糊度.仿真算例计算结果表明,当宽巷模糊度正确固定后,编队卫星间相对定位误差在5 cm以内,两步法可以在较短时间(约3 min)内固定双频模糊度,为精确解算编队卫星的相对状态提供保障.
- 卫星编队飞行 /
- GPS模糊度 /
- 相位平滑伪距 /
- 扩展Kalman滤波 /
- 选权拟合
Abstract: In order to rapidly resolve the carrier ambiguities of satellite formation flying, a two-step method combined with extended Kalman filter (EKF) was proposed. The first step is to fix the wide-lane ambiguities during the state estimation after initializing the filtering with carrier-smoothed-code algorithm and mean value of L₆. The second step is to calculate the float double-frequency ambiguities with the method of selecting the parameter weights using the baseline component as a constraint. The simulated case reveales that the baseline accuracy is within 5 cm after the wide-lane ambiguity was solved and the proposed method can correctly resolve the ambiguities within 3 minutes after the filtering initialization with 10 epochs observation.
- satellite formation flying /
- global position system(GPS) ambiguity /
- wide-lane combination /
- extended Kalman filter /
- selection of the parameter weights

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