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Super-strong collapse pollution rate robust estimation algorithm based on quasi-calibration

A technology of robust estimation and pollution rate, which is applied in computing, computer parts, design optimization/simulation, etc. It can solve the problems such as the selection of quasi-observed values ​​that cannot be effectively automated, and the collapse of model parameter estimation. Apply the obvious effect

Active Publication Date: 2020-12-25
CHANGAN UNIV
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Problems solved by technology

The key to this method is the selection of quasi-observations. When the proportion of gross errors is too high, the existing technology cannot effectively and automatically select the quasi-observations, which leads to the collapse of the model parameter estimation.

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  • Super-strong collapse pollution rate robust estimation algorithm based on quasi-calibration
  • Super-strong collapse pollution rate robust estimation algorithm based on quasi-calibration
  • Super-strong collapse pollution rate robust estimation algorithm based on quasi-calibration

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0048] Step 1. Based on all GNSS horizontal velocity fields in the research area, establish an overall rotation and uniform strain model, and solve the model parameters and the corresponding least squares correction number vector V according to the least squares principle;

[0049] Wherein, the model of the overall rotation and uniform strain is:

[0050]

[0051] In the above formula, L is the observed velocity vector, including eastward and northward velocities; V e , V n Respectively represent eastward and northward speed; R earth Indicates the radius of the earth; Indicates the latitude and longitude position of the station; Indicates the geometric center of the study area; ε ee , ε en , ε nn Represents three principal strain parameters, which are e...

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Abstract

The invention discloses a super-strong collapse pollution rate robust estimation algorithm based on quasi-calibration, which realizes automatic selection of quasi-observation values under any gross error proportion by utilizing a K-means clustering algorithm so as to realize coarse identification of gross errors, and then performs iterative computation by taking quasi-true errors as initial valuesof equivalent weight functions in robust estimation so as to realize robust estimation. Therefore, precise identification of gross errors and super-strong collapse pollution robust estimation of model parameters are realized. Compared with conventional robust estimation and robust estimation based on a residual median, the method has the advantages that detection of gross error data in a regionalGNSS velocity field can be realized more accurately, and super-strong collapse pollution rate robust estimation of regional crustal motion model parameters is realized; more real and valuable basic data are provided for subsequent further research of regional crustal deformation characteristics, and an effective processing method is provided for gross error detection and model parameter estimation of crustal deformation monitoring data in a complex scene.

Description

technical field [0001] The invention belongs to the field of high-precision crustal deformation monitoring data processing, and relates to a GNSS horizontal velocity field gross error detection and model parameter estimation technology based on quasi-quasi-verification. The algorithm takes high-precision crustal deformation monitoring as the actual application background and can be used The application direction of high-precision monitoring of crustal deformation in scenarios where the observation environment is complex and local crustal activities are active. Background technique [0002] With the rapid development of modern space geodetic technology, especially the modernization of space monitoring technology represented by the Global Navigation Satellite System (GNSS), it can be used to achieve high-precision horizontal movement of the earth's crust with centimeter-level or even millimeter-level precision. monitor. However, due to factors such as monitoring environment i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06K9/62
CPCG06F30/20G06F18/23213
Inventor 瞿伟陈海禄张勤高源梁世川韩亚茜
Owner CHANGAN UNIV