GNSS deformation monitoring and denoising method combining variational mode decomposition and permutation entropy

Abstract

The invention discloses a GNSS deformation monitoring and denoising method combining variational mode decomposition and permutation entropy, and provides a method for judging low-frequency effective components and high-frequency noise by calculating permutation entropy values of all mode components for the first time aiming at the high-frequency noise judgment problem in a mode decomposition denoising method. According to the GNSS deformation monitoring and denoising method, the time complexity of each component can be quantified, the properties of each component are quantitatively expressed, the high-frequency noise is judged according to the numerical value, and the method has self-adaptability to any GNSS monitoring sequence. The method can effectively relieve the problems that EMD mode aliasing and local information loss are caused, wavelet denoising is greatly influenced by external selection such as wavelet bases, and the method does not have self-adaptability and the like. Actual measurement data experiments prove that the denoising precision of the method is obviously improved compared with EMD and wavelet denoising, and it is verified that the method has better precision and reliability. Moreover, the method has important application value in improvement of GNSS navigation positioning precision and disaster reduction and prevention capability of a space environment.

Description

technical field [0001] The invention relates to the technical field of modal decomposition-type denoising, in particular to a GNSS deformation monitoring denoising method combined with variational modal decomposition and permutation entropy. Background technique [0002] GNSS observation has the advantage of obtaining continuous three-dimensional coordinate observation sequences in real time, and has been widely used in engineering monitoring, ground deformation, earthquake prediction and many other fields. However, due to the randomness of the measurement environment and the complexity of the deformation process, the monitoring object is often affected by various complex factors, resulting in non-stationary and high-noise observation data, which leads to corresponding errors in the GNSS time series, making it difficult to monitor accurately The actual deformation displacement of the object. Using noise-containing data for deformation analysis and prediction is difficult to...

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Problems solved by technology

[0011] The technical problem to be solved by the present invention is to overcome the above technical defects and provide a GNSS deformation monitoring and denoising method that combines variational mode decomposition and permutation entropy. For the mode decomposition denoising methods, the noise discrimination standards are not uniform and cannot be accurately distinguished High-frequency noise and effective deformation information lead to incomplete or excessive denoising

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