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A New Azimuth-Dependent Elevation Weight (ADEW) Model for Real-Time Deformation Monitoring in Complex Environment by Multi-GNSS

机译:利用Multi-GNSS进行复杂环境实时变形监测的新的方位角高程比(ADEW)模型

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摘要

Global navigation satellite systems (GNSS) have provided an excellent way to monitor micro-deformation in real-time. However, at local sites where landslides frequently occur, the environment can include complex surroundings with mountains, dense vegetation, and human settlements, which can severely degrade the accuracy of positioning with the GNSS technique. In this study, we propose an azimuth-dependent elevation weight (ADEW) model using an azimuth-dependent elevation mask (ADEM) to reduce the effects of multipath errors and improve the accuracy of real-time deformation monitoring in such environments. We developed an adaptive fixed-elevation mask to serve as the outlier of low precision observations at lower elevations for the ADEM, and then, we applied the weighted phase observations into the mitigation process for the effects of multipath errors. The real numerical results indicate that the ADEM model performs better than the conventional model, and the average improvements were 18.91% and 34.93% in the horizontal and vertical direction, respectively. The ADEW model further improved upon the ADEM model results by an additional 21.9% and 29.8% in the horizontal and vertical direction, respectively. Therefore, we propose that the ADEW model can significantly mitigate the effects of multipath errors and improve the accuracy of micro-deformation monitoring via GNSS receivers.
机译:全球导航卫星系统(GNSS)提供了一种出色的实时监测微变形的方法。但是,在经常发生山体滑坡的地方,环境可能包括山脉,茂密的植被和人类住区的复杂环境,这可能严重降低GNSS技术的定位精度。在这项研究中,我们提出了一种使用与方位角有关的仰角蒙版(ADEM)的与方位角有关的仰角权重(ADEW)模型,以减少多径误差的影响并提高这种环境下实时变形监测的准确性。我们开发了一种自适应固定高程遮罩,以作为ADEM在较低高度的低精度观测值的异常值,然后,我们将加权相位观测值应用于缓解过程中的多径误差影响。实际数值结果表明,ADEM模型的性能优于传统模型,平均改进水平和垂直方向分别为18.91%和34.93%。 ADEW模型在ADEM模型结果的基础上进一步得到了进一步改进,分别在水平和垂直方向上分别增加了21.9%和29.8%。因此,我们提出,ADEW模型可以显着减轻多径误差的影响,并通过GNSS接收器提高微变形监测的精度。

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