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Rapid GNSS ambiguity resolution using dual frequency integer relationship constrained algorithm

机译:使用双频整数关系约束算法的快速GNSS模糊度解析

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摘要

The accuracy of pseudo-range is critical to fast ambiguity resolution (AR), especially for single epoch AR. To achieve rapid and reliable positioning with the dual frequency global navigation satellite system (GNSS) receivers for short baseline applications, we propose an integrated method called dual frequency integer relationship constrained ambiguity resolution (FirCAR). FirCAR reduces the required accuracy of pseudorange measurements in the AR procedure of each high elevation satellite. The ambiguities fixed by FirCAR are then added into the observation equation to improve the accuracy of the float ambiguity solution for the remaining measurements at relatively low elevation. Depending on the improved accuracy of the float ambiguities, fixing ambiguities becomes easier through a round-off and/or a search algorithm. On-the-fly (OTF) AR experiments were conducted for static and kinematic GPS observables over short baselines (<13 km). These experiments prove that FirCAR can effectively reduce the observation epochs required to resolve ambiguities, compared to commonly used methods, especially in conditions that are challenging for GPS (e.g. few satellites available, high multipath). More than 95% of the ambiguities can be solved with a single epoch observation using the proposed AR procedure.
机译:伪距的准确性对于快速歧义分辨率(AR)至关重要,特别是对于单历元AR。为了在短基线应用中使用双频全球导航卫星系统(GNSS)接收器实现快速可靠的定位,我们提出了一种称为双频整数关系约束歧义分辨率(FirCAR)的集成方法。 FirCAR降低了每个高海拔卫星的AR程序中所需的伪距测量精度。然后,将FirCAR固定的模糊度添加到观测方程中,以提高相对较低仰角下其余测量的浮点模糊度解决方案的准确性。取决于浮点模糊度的提高的准确性,通过四舍五入和/或搜索算法,固定模糊度变得更容易。动态(OTF)AR实验是针对短基线(<13 km)的静态和运动GPS观测数据进行的。这些实验证明,与常用方法相比,FirCAR可以有效地减少解决歧义所需的观测时期,尤其是在GPS面临挑战的条件下(例如,可用卫星少,多径高)。使用提出的AR程序,只需一个历时的观测就可以解决95%以上的歧义。

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