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Continuous modelling of global navigation satellite system multipath errors for sidereal filtering

机译:用于恒星滤波的全球导航卫星系统多径误差的连续建模

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摘要

Carrier-phase multipath effect is one of the major error sources in static global navigation satellite systems positioning applications. Sidereal filtering is an effective approach for mitigating multipath error, utilising the multipath error of the previous day to improve the positioning result of the next day. In this study two interpolation methods, namely cubic spline interpolation and piecewise linear interpolation, are used for continuous modelling of multipath error in sidereal filtering, which can further improve the performance of the filter. Sidereal filtering approach adopting the first-order derivative Tikhonov regularisation is applied in this work. Two issues, namely the different sampling intervals or the non-synchronisation between the data for modelling and the data to be mitigated, are solved by applying the continuous multipath models. Then the effects of two interpolation methods are compared and the feasibility of the proposed method is illustrated in the real data processing.
机译:载波相位多径效应是静态全球导航卫星系统定位应用中的主要误差源之一。恒星滤波是减轻多径误差的有效方法,它利用前一天的多径误差来改善第二天的定位结果。在这项研究中,三次样条插值法和分段线性插值法这两种插值方法用于恒星滤波中多路径误差的连续建模,可以进一步提高滤波器的性能。这项工作采用了采用一阶导数Tikhonov正则化的恒星滤波方法。通过应用连续多径模型,可以解决两个问题,即不同的采样间隔或建模数据与要缓解的数据之间的不同步。然后比较了两种插值方法的效果,并说明了该方法在实际数据处理中的可行性。

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