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Establishing method of regional CORS coordinate time series noise model

A technology of coordinate time series and noise model, which is applied in satellite radio beacon positioning system, image data processing, special data processing application, etc., can solve the problem of uncertain establishment of optimal noise model, lack of judgment, and lack of frequency domain Estimation analysis and other issues to achieve the effect of avoiding limitations and reducing the impact of noise

Inactive Publication Date: 2015-03-04
HOHAI UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The traditional spatial filtering method only analyzes the time series of CORS coordinates in the time domain, and lacks the estimation analysis in the frequency domain; it is lack of judgment to choose the variable white noise (VW) or pure white noise (WH) model for the estimation of the filtered sequence spectrum. and there is no definite method for establishing an optimal noise model
Therefore, the establishment of traditional noise models for CORS coordinate time series has limitations

Method used

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  • Establishing method of regional CORS coordinate time series noise model
  • Establishing method of regional CORS coordinate time series noise model
  • Establishing method of regional CORS coordinate time series noise model

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Experimental program
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Embodiment 1

[0055] Embodiment 1: The model analysis of pure white noise "WH" and variable white noise "VW" carried out by testing the CORS network coordinate time series of a certain city, to the maximum likelihood estimation of N, E, U component of six stations in the network Table 1 shows the comparison results of the maximum likelihood estimation between the "WH" model and the "VW" model of the N, E, and U components of a CORS station in a certain city.

[0056] Table 1: Comparison results of the maximum likelihood estimation of the N, E, and U components of the "WH" model and the "VW" model of a CORS station in a certain city

[0057]

[0058] Judging by the Monte Carlo criterion, as far as the white noise model is concerned, the "WH" model is more suitable for the CORS station coordinate time series of the city than the "VW" model.

[0059] As shown in Figure 4, including Figure 4a , Figure 4b and Figure 4c , is the combined noise model of the present invention tested in a C...

Embodiment 2

[0060] Embodiment 2: Select "WH+FN+RWN" as the best noise estimation model of a certain city CORS reference station, and analyze the time series of the north, east and elevation direction coordinate components of a certain city CORS reference station as an example, and obtain 3 The estimates of different noises are shown in Table 2:

[0061] Table 2: Estimation of CORS station coordinate time series spectral index and noise component parameters based on WH+FN+RWN model (unit: mm)

[0062]

[0063]

[0064]Table 2 lists the power spectrum index estimation and noise component parameter estimation on the three components of the CORS reference station coordinate time series N, E, and U. The noise components of the CORS reference station N, E, and U direction coordinate time series are between ( -1, 0), it indicates that the noise of the CORS reference station does not satisfy the property of pure white noise, and is a combination of various noises including white noise and c...

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Abstract

The invention relates to an establishing method of a regional CORS coordinate time series noise model. The establishing method is characterized by comprising the following steps that: step 1, observation data of a regional CORS station are obtained; step 2, GNSS data pre-processing software TEQC is adopted; step 3, GAMIT / GLOBK baselines are adopted to solve adjustment; step 4, a high-precision coordinate time series is established; step 5, singular spectrum analysis-based spatial filtering is performed; step 6, MLE estimation-based noise model selection is performed; and step 7, regional CORS velocity filed estimation is performed in view of colored noise models. According to the establishing method of the invention, time-domain frequency domain characteristic analysis is adopted to perform spatial filtering on the regional CORS time series; and maximum likelihood values are selected for different noise models of the regional CORS time series, so that judgment can be performed, and therefore, optimal noise models in the N (North), E (East) and U (altitude) are determined, and the regional CORS velocity filed can be estimated in view of the optimal noise models.

Description

technical field [0001] The invention belongs to the technical field of a continuous operation satellite positioning service system, and in particular relates to a method for establishing a regional CORS coordinate time series noise model. Background technique [0002] Studying and analyzing the characteristics of the CORS (Continuously Operating Reference Stations) coordinate time series of the regional continuous operating satellite positioning service can understand the stability of the GNSS (Global Navigation Satellite System) reference station and the change law of the reference station position, It is of great significance for the application of GNSS observation data, the monitoring of regional surface deformation and the reasonable utilization of continuous observation network. GNSS coordinate time series features have the following three points: trend feature, period feature, and noise feature. GNSS coordinate time series not only contains white noise, but also conta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06F17/50G06T7/00G01S19/03
Inventor 曹奇张迎燕刘志强岳东杰王可伟王性猛王海李成仁
Owner HOHAI UNIV
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