Precise Point Positioning for Next-Generation GNSS

P. Henkel
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引用次数: 1

Abstract

Precise Point Positioning (PPP) provides accurate absolute position information without the direct need of measurements from a reference station at the user. The current challenge of GPS L1/L2-based PPP is its long convergence time of more than 20 minutes being caused by the need to estimate atmospheric parameters, and the relatively large code noise and multipath errors. There are two options to reduce the convergence time of PPP: First, the Galileo wideband signals on E5 and E6 have a much lower code noise than current GPS L1 and L2 pseudoranges. Second, the satellite positions and satellite-related biases can be determined much faster and more accurately with optical inter-satellite links supporting ranging, time-transfer and intra-system communication. In this paper, we consider both options. A joint estimation of the receiver position, receiver clock offset, tropospheric zenith delay, ionospheric slant delays and carrier phase ambiguities is performed with a Kalman filter. Orbital errors and pseudo range multipath are also taken into account. The float carrier phase ambiguity estimates are mapped to integers using the famous Least-Squares Ambiguity Decorrelation Adjustment (LAMBDA) method. The simulation results show that an ambiguity fixing and, thereby, a highly-accurate PPP solution, can be achieved consistently within a few epochs. This is a quite substantial benefit and could make PPP attractive for numerous applications.
下一代GNSS的精确点定位
精确点定位(PPP)提供准确的绝对位置信息,而不需要直接从用户处的参考站进行测量。基于GPS L1/ l2的PPP目前面临的挑战是由于需要估计大气参数,导致其收敛时间超过20分钟,并且编码噪声和多径误差相对较大。减少PPP收敛时间有两种选择:首先,E5和E6上的伽利略宽带信号具有比当前GPS L1和L2伪距低得多的码噪声。其次,通过支持测距、时间传递和系统内通信的光学卫星间链路,可以更快、更准确地确定卫星位置和与卫星有关的偏差。在本文中,我们考虑了这两种选择。利用卡尔曼滤波器对接收机位置、接收机时钟偏移、对流层天顶延迟、电离层倾斜延迟和载波相位模糊度进行了联合估计。同时考虑了轨道误差和伪距离多径。使用著名的最小二乘模糊去相关调整(LAMBDA)方法将浮点载波相位模糊估计映射到整数。仿真结果表明,该方法可以在几个epoch内一致地实现模糊定位,从而获得高精度的PPP解决方案。这是一个相当可观的好处,可以使PPP对许多应用程序具有吸引力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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