摘要
在GPS动态变形监测中,监测结果包含多种GPS误差,其中大部分误差如对流层误差能通过差分技术消除,而多路径、观测噪声等GPS误差不能通过差分技术消除,这部分误差中多路径误差是主要误差源。本文提出利用FIR滤波,基于GPS卫星轨道周日重复特性,提取GPS动态变形监测中的多路径误差。通过模拟实验,论证了FIR滤波提取多路径误差的有效性,并在动态变形监测实验中,通过自适应的FIR滤波有效提取出GPS多路径误差,建立了多路径误差的周日重复模型。
GPS dynamic deformation monitoring results contains a variety of GPS errors,of which most of the errors,such as the tropospheric error can be eliminated by the difference technique. However,the multipath and observation noise can't be eliminated by the difference techniques,and the multipath error is the main error source. In this paper,FIR filtering is used to extract the multipath errors in the dynamic deformation monitoring of GPS based on the repetitive characteristics of GPS satellite orbit. Designing a simulation experiment to demonstrates the effectiveness of the adaptive filtering in extracting the multipath error. Finally,the adaptive filter is used in the dynamic deformation monitoring experiment to extract the GPS multipath error effectively,and the dairy repetition model of multipath error was established.
引文
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