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A GPS position time series noise model building method

A time series and noise model technology, applied in the field of satellite navigation, can solve the problem of not simply selecting the optimal noise model of the model with a larger MLE value, etc.

Inactive Publication Date: 2019-05-10
EAST CHINA JIAOTONG UNIVERSITY +1
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Problems solved by technology

Therefore, the model with a larger MLE value cannot be simply selected as the optimal noise model, and the noise model estimation algorithm needs to be further improved

Method used

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  • A GPS position time series noise model building method
  • A GPS position time series noise model building method
  • A GPS position time series noise model building method

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Embodiment Construction

[0027] In order to make the purpose, technical solutions and beneficial effects of the present invention more clear, the present invention will be further described below in conjunction with the accompanying drawings and specific implementation methods. It should be understood that the collective embodiments described below are only used to explain the present invention, not to limit the present invention.

[0028] please see figure 1 A method for establishing a GPS position time series noise model provided by the invention comprises the following steps:

[0029] Step 1: For GPS observations and related files (ephemeris files, table files, etc.), use a variety of calculation algorithms to solve, obtain the single-day relaxation solutions of GPS stations respectively, and use different solution weights for joint solutions through public base stations Calculate and obtain the GPS station coordinate position time series;

[0030] To obtain the GPS station coordinate position ti...

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Abstract

The invention discloses a GPS position time series noise model establishment method, analyzes the noise model characteristics of the GPS station coordinate position time series, establishes the GPS station coordinate position time series noise model analysis mechanism, and considers the GPS position sequence solution The impact of factors such as strategy, time span, gross error, trend speed item, surface environmental load effect, and common mode error on the establishment of the noise model; the present invention considers the limitations of the traditional GPS time series noise model estimation method, and takes into account the noise model Diversity, considering multiple models and their combined models, and using improved AIC / BIC model estimation criteria. Through the analysis of multiple factors, a robust GPS station coordinate position time series noise model estimation method was finally established to obtain accurate noise model estimation results, and finally to obtain accurate station velocity and its uncertainty parameters, for further Improve the application of GPS coordinate sequence in high-precision geodynamics to provide reliable data basis.

Description

technical field [0001] The invention belongs to the technical field of satellite navigation and relates to a method for establishing a robust GPS position time series noise model. Background technique [0002] With the improvement of the positioning accuracy of the satellite positioning system, the continuously running GPS (Global Positioning System) tracking stations distributed around the world have accumulated decades of observation data and obtained many valuable understandings. [0003] The noise of GPS observations is initially assumed to be pure white noise, that is, continuous GPS observations (coordinate sequences) are independent of each other, ignoring the correlation between stations. Through the analysis of long-term time series research, it is found that this assumption will lead to deviations in data processing results and parameter estimation, which is manifested as an underestimation of velocity uncertainty, that is, an overly optimistic error estimation res...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S19/42G06F17/16
CPCG01S19/42G06F17/16
Inventor 贺小星花向红姜卫平周晓慧宣伟李长春马飞虎
Owner EAST CHINA JIAOTONG UNIVERSITY
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