Bakuła Mieczysław
Faculty of Geoengineering, University of Warmia and Mazury, 10-719 Olsztyn, Poland.
Institute of Navigation, Military University of Aviation, 08-521 Dęblin, Poland.
Sensors (Basel). 2020 Aug 2;20(15):4318. doi: 10.3390/s20154318.
This paper presents a precise and fast method of ambiguity resolution (PREFMAR) for frequencies L1/E1 and L5/E5a of GPS/GALILEO data. The developed method is designed for precise and fast determination of ambiguities in GNSS phase observations. Ambiguities are chosen based on mathematical search functions. The fact that no variance-covariance matrix (VC matrix) with a so-called float solution is needed proves the innovativeness of the developed method. Moreover, the developed method enables determination of the ambiguities for short baseline double-difference (DD) observations. The presented algorithms for the developed method enable unique and reliable calculation of the ambiguity if the actual errors of code measurements of DD observations are less than 0.38 m and the relative errors of phase observations are in the range of ±3 cm. The paper presents both mathematical derivations of the functions used in the PREFMAR and numerical calculations based on real double-difference GPS observations (L1-L5). The elaborated algorithms can be easily implemented into GNSS receivers or mobile phones. Therefore, they can be widely used in many geoscience applications, as well as in precise GPS/GALILEO navigation.
本文提出了一种用于GPS/GALILEO数据L1/E1和L5/E5a频率的精确快速模糊度解算方法(PREFMAR)。所开发的方法旨在精确快速地确定GNSS相位观测中的模糊度。模糊度基于数学搜索函数进行选择。不需要具有所谓浮点解的方差协方差矩阵(VC矩阵)这一事实证明了所开发方法的创新性。此外,所开发的方法能够确定短基线双差(DD)观测的模糊度。如果DD观测的码测量实际误差小于0.38米且相位观测的相对误差在±3厘米范围内,所开发方法的算法能够对模糊度进行唯一且可靠的计算。本文给出了PREFMAR中所用函数的数学推导以及基于实际双差GPS观测(L1 - L5)的数值计算。所阐述的算法可轻松集成到GNSS接收机或手机中。因此,它们可广泛应用于许多地球科学应用以及精确的GPS/GALILEO导航中。