Kim Euiho
Department of Mechanical & System Design Engineering, Hongik University, 94, Wausan-ro, Mapo-Gu, Seoul 04066, Korea.
Sensors (Basel). 2021 Feb 14;21(4):1355. doi: 10.3390/s21041355.
To enable Global Navigation Satellite System (GNSS)-based precise relative positioning, real-time kinematic (RTK) systems have been widely used. However, an RTK system often suffers from a wrong integer ambiguity fix in the GNSS carrier phase measurements and may take a long initialization time over several minutes, particularly when the number of satellites in view is small. To facilitate a reliable GNSS carrier phase-based relative positioning with a small number of satellites in view, this paper introduces a novel GNSS carrier phase-based precise relative positioning method that uses a fixed baseline length as well as heading measurements in the beginning of the operation, which allows the fixing of integer ambiguities with rounding schemes in a short time. The integer rounding scheme developed in this paper is an iterative process that sequentially resolves integer ambiguities, and the sequential order of the integer ambiguity resolution is based on the required averaging epochs that vary for each satellite depending on the geometry between the baseline and the double difference line-of-sight vectors. The required averaging epochs with respect to various baseline lengths and heading measurement uncertainties were analyzed through simulations. Static and dynamic field tests with low cost GNSS receivers confirmed that the positioning accuracy of the proposed method was better than 10 cm and significantly outperformed a conventional RTK solution in a GNSS harsh environment.
为实现基于全球导航卫星系统(GNSS)的精确相对定位,实时动态(RTK)系统已被广泛应用。然而,RTK系统在GNSS载波相位测量中常常存在整周模糊度解算错误的问题,并且可能需要长达几分钟的初始化时间,尤其是在可见卫星数量较少时。为便于在可见卫星数量较少的情况下实现基于GNSS载波相位的可靠相对定位,本文介绍了一种新颖的基于GNSS载波相位的精确相对定位方法,该方法在操作开始时使用固定基线长度以及航向测量值,从而能够在短时间内通过舍入方案固定整周模糊度。本文开发的整周舍入方案是一个迭代过程,可顺序解算整周模糊度,整周模糊度解算的顺序基于所需的平均历元数,该平均历元数因每颗卫星而异,取决于基线与双差视线向量之间的几何关系。通过仿真分析了各种基线长度和航向测量不确定性所需的平均历元数。使用低成本GNSS接收机进行的静态和动态现场测试证实,该方法的定位精度优于10厘米,并且在GNSS恶劣环境中明显优于传统的RTK解决方案。