水环境下GNSS多路径消除方法适用性研究

A study on the applicability of GNSS multi-path elimination methods in water environment

水环境会产生严重的多路径效应,为提高GNSS在水环境下的监测精度,对传统多路径消除方法在水工建筑监测结果的影响进行研究,证明恒星日滤波不适用于水环境下的多路径消除。分别对湖面试验和船闸试验所得数据使用恒星日滤波与移动平均法对多路径效应进行消除,恒星日滤波对湖面数据精度的提升均在25%以下且不稳定,有时甚至会增大误差;移动平均法对湖面数据精度的提升大多在50%,船闸数据的处理也能够得到相似结果。湖面和船闸试验表明:移动平均法比恒星日滤波对于大面积水域的多路径消除效果更好。该研究结果可为水工建筑变形监测时多路径消除提供参考。

The water environment will produce serious multipath effect.In order to improve the monitoring accuracy of GNSS in water environment, the influence of traditional multipath elimination methods on the monitoring results of hydraulic buildings is studied.It is proved that stellar day filtering is not suitable for multipath elimination in water environment.In this paper, the multi-path effect is eliminated by using the star-day filtering and moving average method for the data obtained from the lake surface experiment and the lock experiment.The accuracy of the lake surface data obtained by the star-day filtering is less than 25% and unstable, and sometimes the error is even increased.The moving average method improves the accuracy of lake surface data mostly by 50%,and the processing of lock data can also obtain similar results.The lake surface and ship lock experiments show that the moving average method has better multipath elimination effect than the star-day filtering for large-area waters.The research results can provide reference for multi-path elimination in deformation monitoring of hydraulic buildings.