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Improving Performances of Classic Three Carrier Ambiguity Resolution (TCAR) Algorithms for Galileo using GTCAR

机译:使用GTCAR提高伽利略的经典三载常压分辨率(TCAR)算法的性能

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High precision applications require the use of carrier phase measurements, with precision theoretically in the millimeter to centimeter level, not achievable by code measurements. However, in order to use the high precision of carrier phase observables it is necessary to solve the integer ambiguities inherent to this kind of measurements. GMV developed an algorithm for the resolution of the phase ambiguities, Generalized Three Carrier Ambiguity Resolution (GTCAR, presented in ION GPS 99 conference [1]), which identifies among all the generic integer linear combinations of the code and phase observables available at the different frequencies those combinations that optimize the achievable performances of ambiguity validity. The objective of this study is to show the performances achievable with GTCAR algorithm using combinations of Galileo and GPS signals. Due to the nature of GTCAR, this study shows the theoretical limit of the performances achievable in ambiguity resolution techniques combining up to three frequencies. Results obtained show that GTCAR algorithm improves the performances of standard Three Carrier Ambiguity Resolution (TCAR) algorithms [2]. GTCAR performances allow the resolution of the phase ambiguities and the use of the high precision of phase measurements considering the appropriate linear combinations of frequencies in each case. This is an important result considering that Galileo and GPS will transmit signals in three different frequencies in the future. This GTCAR algorithm is not only a method to check theoretical limits achievable by ambiguity resolution techniques, but also an operational alternative to currently used ambiguity resolution methods.
机译:高精度应用需要使用载波相位测量,精确地理论上在毫米到厘米水平中,不能通过代码测量来实现。然而,为了使用载体相位的高精度可观察到,有必要解决这种测量固有的整数含糊不清。 GMV为分辨率的分辨率开发了一种算法,用于分辨率,广义三个载波歧义分辨率(GTCAR,在离子GPS 99会议上提供[1]),其识别了不同的代码和相位可观察到的所有通用整数线性组合。频率优化歧义有效性的可实现性能的组合。本研究的目的是使用伽利略和GPS信号的组合来展示使用GTCAR算法实现的性能。由于GTCAR的性质,该研究表明,在结合三个频率的模糊分辨率技术中实现的性能的理论极限。得到的结果表明,GTCAR算法改善了标准三载常压分辨率(TCAR)算法的性能[2]。 GTCAR表演允许分辨相模糊化和使用高精度的相位测量,考虑到每种情况下的频率的适当线性组合。这是考虑到伽利略和GPS将来将在未来三种不同频率发射信号的重要结果。该GTCAR算法不仅是一种检查可通过模糊分辨率技术可实现的理论限制的方法,而且是目前使用的模糊分辨率方法的操作替代方案。

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