GB-RAR high-speed rail bridge deformation information estimation model considering influence of colored noise

Abstract

The invention discloses a GB-RAR high-speed rail bridge deformation information estimation model considering influence of colored noise. The method includes the steps of obtaining phase values in twoground-based radar images corresponding to the first moment and the second moment, carrying out interference on the ground-based radar images, obtaining interferometric phases, removing an atmosphericphase component and the random noise phase, then obtaining radar sight direction deformation quantity, acquiring amplitudes of white noise and colored noise, and combining sedimentation rate, obtaining a sedimentation time sequence and a random model of a target object, carrying out noise reduction processing on the settlement time sequence by utilizing a wavelet analysis method, analyzing the sedimentation time sequence by adopting a maximum likelihood method, after logarithm taking processing is carried out on the obtained joint probability density expression, adjusting the spectral index of colored noise, after the obtained set likelihood value is processed through a weighted least square estimation method, obtaining a GB-RAR high-speed rail bridge deformation information estimation model, thus the accuracy of railway bridge monitoring and evaluation is improved.

Description

technical field [0001] The invention relates to the technical field of deformation monitoring and analysis of railway bridges, in particular to a GB-RAR high-speed railway bridge deformation information estimation model considering the influence of colored noise. Background technique [0002] Deformation monitoring and analysis of high-speed railway bridges is of great significance for early assessment of safety and effective protection measures. The measurement methods include leveling, GNSS, sensor measurement and acceleration measurement, etc. InSAR is a non-contact measurement method. However, due to the limiting factors (such as low time resolution, geometric distortion, etc.) Technology is difficult to achieve high-precision dynamic deformation monitoring of bridges. In order to overcome the shortcomings of spaceborne InSAR, ground-based radar interferometry technology is proposed. This technology can monitor the very small deformation of the line of sight of the monit...

AI Technical Summary

Problems solved by technology

Since the introduction of GB-RAR technology, this technology has been widely used in bridge deformation monitoring and analysis, however, most of the previous studies usually assume that only white noise exists in the deformation time series, but in the high-frequency data from ground-based interferometric radar When extracting deformation information, there will be both time-independent white noise and time-correlated colored noise in the radar signal

When the high-frequency mode is used to monitor deformation for ground-based interferometric radar, the radar signal will be affected by white noise and colored noise at the same time, reducing the accuracy of monitoring and evaluating railway bridges

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