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Global ionosphere TEC model forecasting method and system

A forecasting system and ionospheric technology, applied in forecasting, electrical digital data processing, data processing applications, etc., can solve problems such as immature distribution model algorithms, and achieve the effect of simple models and strong operability

Pending Publication Date: 2022-01-07
WUHAN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the limited distribution of global real-time observation stations and the immaturity of the model algorithm, it is often necessary to introduce the background field ionosphere model

Method used

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  • Global ionosphere TEC model forecasting method and system
  • Global ionosphere TEC model forecasting method and system
  • Global ionosphere TEC model forecasting method and system

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Embodiment 1

[0039] A global ionospheric TEC model forecasting method provided in the embodiment uses fast Fourier transform to extract the periodic term of the global ionospheric TEC model spherical harmonic coefficient time series, and uses trigonometric series function to fit and estimate the spherical harmonic coefficients , to predict the short-term spherical harmonic coefficients, and then generate a global forecast ionospheric TEC model based on the predicted spherical harmonic coefficients. The data processing procedure of the present invention is as figure 1 shown. A kind of global ionospheric TEC model prediction method provided by the embodiment, the realization mode comprises the following steps:

[0040] Step 1, extract periodic items according to the global ionospheric model spherical harmonic coefficient time series, and select periodic items with specific physical meanings.

[0041] Read the spherical harmonic function model ION file and generate the spherical harmonic fu...

Embodiment 2

[0087] On the basis of Embodiment 1, in step 1, the periodic term of the time series of ionospheric spherical harmonic coefficients is extracted by fast Fourier transform.

[0088] For each spherical harmonic coefficient, fast Fourier transform is performed one by one to analyze its amplitude spectrum. According to the properties of the amplitude spectrum, periodic terms with typical physical meanings are selected. According to the characteristics of periodic items, different time scales need to be divided, such as annual cycle, daily cycle and sub-day cycle. The data processing flow chart of extracting periodic items according to the fast Fourier transform is as follows: figure 2 As shown in , the spherical harmonic coefficients are input, and then the fast Fourier transform is used to output the timing diagram of the correlation between the amplitude and the period, and a typical period item is selected according to the amplitude.

Embodiment 3

[0090] On the basis of embodiment 1, in step 2, the spherical harmonic function coefficients are decomposed into trend items and random signal items, and the trend items of the spherical harmonic function coefficients are fitted using trigonometric series functions.

[0091] The research shows that the coefficients of spherical harmonics not only have periodic variation characteristics, but also have random variation characteristics. The spherical harmonic function coefficient is decomposed into a trend item and a random signal part, the fitted part is expressed as a filtered signal, and the extrapolated part is expressed as an estimated new number, and its formula is expressed as:

[0092] L=AX+S+OS'+Δ

[0093] In the formula, L represents the observation vector, AX represents the system component, A represents the design matrix, X represents the tendency parameter, S represents the filtered signal, S′ represents the estimated signal, Δ represents the observed noise, O repres...

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Abstract

The invention relates to a global ionosphere TEC model forecasting method and system, wherein the method comprises the steps: extracting a periodic term of a global ionosphere TEC model spherical harmonic function coefficient time sequence through employing fast Fourier transform, carrying out the fitting estimation of a spherical harmonic coefficient through employing a trigonometric series function, and forecasting a short-term spherical harmonic function coefficient; and generating a global forecast ionosphere TEC model according to the forecast spherical harmonic coefficient. According to the invention, the spherical harmonic function is adopted to describe the spatial-temporal change characteristics of the ionized layer TEC, the model is simple, and the operability is high; wherein the spherical harmonic function takes an orthogonal Legendre polynomial as a primary function and can represent physical meanings of the ionized layer TEC related to geographic latitude and geographic longitude; thus, not only is the trend term of the ionized layer TEC considered, but also the random change characteristic of the ionized layer TEC is considered.

Description

technical field [0001] The invention relates to a global ionospheric TEC model forecasting method, in particular to a global ionospheric TEC model forecasting method and system based on spherical harmonic functions and fitting estimation parameter estimation methods. Background technique [0002] According to GNSS dual-frequency pseudo-range and carrier observation data, the inclined ionosphere STEC on the satellite signal propagation path can be obtained by inversion. Vertical ionospheric VTEC can be obtained by projecting STEC to the vertical direction. Based on the globally distributed discrete VTEC, a global ionospheric TEC model can be established. The spherical harmonic function has an excellent mathematical structure and is the most commonly used function model to describe the global ionospheric TEC. The spherical harmonic function uses orthogonal Legendre polynomials as the basis function to decompose the ionospheric TEC into various components, and each component ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F30/20G06F17/14G06F17/15G06F17/16
CPCG06Q10/04G06F30/20G06F17/141G06F17/15G06F17/16
Inventor 张强赵齐乐
Owner WUHAN UNIV
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