A Noise Reduction Method for Ground-Based Synthetic Aperture Radar Data

Abstract

The present invention provides a method for noise reduction of ground-based synthetic aperture radar data, comprising the following steps: Step S1: arranging at least two joint monitoring stations in the monitoring area of ​​the ground-based radar, and arranging a Beidou differential reference station in the stable area; step S2: passing The ground-based radar measures the deformation measurement value of the joint monitoring station, corrects the deformation measurement value based on the vector projection distance weighted atmospheric correction method, and obtains the radar observation value after atmospheric correction; Step S3: obtain the real-time data of the joint monitoring station through the Beidou differential reference station Three-dimensional displacement measurement value; Step S4: use the Kalman filter algorithm to fuse the radar observation value and the three-dimensional displacement measurement value after atmospheric correction to obtain the deformation value of the joint monitoring station. The invention takes into account the azimuth atmospheric effect in the atmospheric correction of the radar, and makes up for the deficiency that the existing atmospheric correction algorithm does not consider the azimuth atmospheric effect; the ground-based radar and the Beidou are used for data fusion to realize the fusion of the advantages of the two.

Description

technical field [0001] The invention relates to the technical field of ground-based radar monitoring, in particular to a ground-based synthetic aperture radar data noise reduction method. Background technique [0002] Engineering disasters such as tailings ponds, open-pit stopes, high and steep slopes, landfills, and buildings and structures are often accumulated over a long period of time and change dynamically. Small deformations in the quantitative stage may not have detailed effects, but when the deformation If the accumulation exceeds the tolerance range of the deformable body, disasters such as landslides and collapses will occur, causing major economic losses and even casualties. Ground-based synthetic aperture radar has a measurement accuracy of submillimeter level, can conduct comprehensive and rapid measurement of a wide range of scenes, and has low comprehensive use cost. It is a very promising technical means for slope deformation monitoring. [0003] There are ...

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to provide a ground-based synthetic aperture radar data noise reduction method, which aims to solve the problem that the long-term drift of ground-based radar data affects the stability of long-term monitoring. The specific technical solutions are as follows:

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