Noise model establishing method of GPS position time sequences

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: 2017-05-31
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

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  • Noise model establishing method of GPS position time sequences
  • Noise model establishing method of GPS position time sequences
  • Noise model establishing method of GPS position time sequences

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[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 for explaining the present invention, and are not intended 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 coordi...

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Abstract

The invention discloses a noise model establishing method of GPS position time sequences. Features of a noise model of the GPS observation station coordinate position time sequences are analyzed, a noise model analysis mechanism of the GPS observation station coordinate position time sequences is established and effects on the establishment of the noise module imposed by factors like the GPS position sequence resolving strategy, the time span, the gross error, the trend speed item, the surface environment load effect and the common-mode error are considered. According to the invention, limitations of a traditional GPS time sequence noise model estimation method, varieties of the noise model and a multi-model and a combined model thereof are considered, and an improved AIC / BIC model estimation rule is adopted. By analyzing various factors, a steady noise model establishing method of the GPS position time sequences is finally established, so accurate noise model estimation results are acquired, accurate station speed and nondeterminacy parameters thereof are finally acquired and a reliable data basis is provided for application of a GPS coordinate sequence in high-precision earth dynamics.

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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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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