首页> 外文会议>19th International technical meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2006) >Unified Methods of Point and Relative Positioning Based on GNSS Regression Equations
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Unified Methods of Point and Relative Positioning Based on GNSS Regression Equations

机译:基于GNSS回归方程的点与相对定位统一方法

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摘要

In this paper, we discuss unified methods of carrier-phase-based precise point positioning (PPP) as well as relative positioning based on novel GR equations (: GNSS Regression equations). GR equations were introduced such that a PPP algorithm were derived in [1, 2, 3]. The derived PPP algorithm achieved a positioning accuracy at the decimeter error level without any external information such as from WAAS[3, 4, 5]. In this paper, after introducing more precise GR models which contain the so-called receiver's and satellite's hardware delays [6], we extend our PPP algorithm to the positioning occasion of using multiple antennas. Very precise point positioning (VPPP) occasion using two or more PPP antennas with common clock errors and known receivers' distances is considered. Furthermore, wernextend to the relative positioning occasion based on applying the GR equations such that we derive a new recursive relative positioning algorithm.
机译:在本文中,我们将讨论基于载波相位的精确点定位(PPP)以及基于新型GR方程(:GNSS回归方程)的相对定位的统一方法。引入了GR方程,从而在[1,2,3]中导出了PPP算法。派生的PPP算法在分米误差级别获得了定位精度,而没有来自WAAS [3,4,5]的任何外部信息。在本文中,在介绍了包含所谓的接收机和卫星硬件延迟[6]的更精确的GR模型之后,我们将PPP算法扩展到使用多个天线的定位场合。考虑使用两个或更多个具有常见时钟误差和已知接收器距离的PPP天线进行非常精确的点定位(VPPP)场合。此外,基于GR方程扩展了相对定位时机,从而推导了一种新的递归相对定位算法。

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