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.

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

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