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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的统一方法

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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, we extend 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,我们讨论了基于载波相位的精确点定位(PPP)的统一方法以及基于新颖的GR方程的相对定位(:GNSS回归方程)。 介绍了GR方程,使得PPP算法衍生在[1,2,3]中。 导出的PPP算法在排比误差水平下实现了定位精度,而没有任何外部信息,例如来自WAA [3,4,5]。 在本文中,在引入包含所谓的接收器和卫星硬件延迟的更精确的GR模型之后[6],我们将PPP算法扩展到使用多个天线的定位器。 考虑使用具有共同时钟误差和已知接收器距离的两个或更多个PPP天线的非常精确点定位(VPPP)场合。 此外,我们基于应用GR方程来扩展到相对定位时机,使得我们推导出新的递归相对定位算法。

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