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GPS carrier phase ambiguity resolution using satellite-satellite single differences.

机译:GPS卫星相位模糊度解析,使用卫星单差。

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A GPS carrier phase ambiguity resolution method using satellite-satellite single differences was developed. Single difference ambiguity resolution would benefit precise point positioning algorithms. First single difference widelane and L1 ambiguities were formed to remove the GPS receiver contributions to the GPS carrier phase ambiguities. Then those values were combined over the JPL FLINN tracking network using directional statistics to calculate fractional phase bias calibration values. Applying the calibrations removed the satellite dependent fractional contributors to the single difference ambiguities. The remainder was fixed to an integer and constraint equations were formed.; The calibration values were analyzed for long term characteristics between January 1, 1997, and May 30, 1998. The calibrations for the widelane linear combination experienced drifts, second order effects, and periodic signals. While satellites 22, 26, 27, 29, 31, and 32 experienced near zero drift rates and signals with amplitudes smaller than 0.1 widelane cycles, satellites 30, 33, and 40 had high drift rates between 0.78 and 1.4 widelane cycles/year and substantial second order signals.; To increase the size of the L1 fractional phase bias pass distributions and exploit the Central Limit Theorem, an algorithm was developed to use the correlations between single differences for statistical boot-strapping. A trade-off between the accuracy and size of the L1 bias distributions was controlled by the algorithm's convergence criteria. Meaningful analysis of the L1 calibrations was not possible because of this trade-off and the effects of orbit error.; Simulations were performed in the presence of measurement noise and orbit errors to test the single difference ambiguity resolution algorithm. Assuming perfect knowledge of the bias calibrations resulted in 40–50% mean baseline length repeatability improvement; which is comparable to the improvement from double differencing. The introduction of random bias calibration errors lowered mean baseline length repeatability improvement to 14%. Finally, actual bias calibrations were used to test single difference ambiguity resolution of real data. The resulting mean baseline length repeatability improvement was non-existent versus 25% improvement from double differencing. The results for real data showed that there is insufficient knowledge of the L 1 biases and too much orbit error for single difference ambiguity resolution.
机译:提出了利用卫星单差的GPS载波相位模糊度解析方法。单差模糊度解决方案将有利于精确的点定位算法。首先形成单差宽道和 L 1 模糊度,以消除GPS接收器对GPS载波相位模糊度的影响。然后,这些值在JPL FLINN跟踪网络上使用方向统计信息进行组合,以计算分数相偏置校准值。应用校准将依赖于卫星的分数贡献者移至单差歧义。其余的固定为整数并形成约束方程。在1997年1月1日至1998年5月30日之间,分析了校准值的长期特性。宽车道线性组合的校准经历了漂移,二阶效应和周期性信号。卫星22、26、27、29、31和32的漂移率接近零并且信号幅度小于0.1宽车道周期,而卫星30、33和40的漂移率在0.78至1.4宽车道周期/年之间,并且相当大。二阶信号。为了增加 L 1 分数阶相位偏差通过分布并利用中心极限定理,开发了一种算法,利用单个差异之间的相关性进行统计引导。算法的收敛准则控制了 L 1 偏差分布的准确性和大小之间的权衡。由于这种权衡和轨道误差的影响,不可能对 L 1 标定进行有意义的分析。在存在测量噪声和轨道误差的情况下进行了仿真,以测试单差模糊度解决算法。假设对偏差校准的全面了解可使平均基线长度可重复性提高40%至50%;这可与双重差分的改进相媲美。随机偏差校准误差的引入使平均基线长度的重复性提高降低到14%。最后,使用实际偏差校准来测试真实数据的单差歧义分辨率。所得平均基线长度可重复性改善不存在,而双差值改善了25%。真实数据的结果表明,对于单差模糊度解决方案, L 1 偏差的知识不足,轨道误差也太大。

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