A Data-Driven Approach to Empirical Ionospheric Models Based on GNSS Measurements
A driving method and model data technology, which is applied in the direction of measurement devices, radiation measurement, radio wave measurement systems, etc., can solve the problems of limiting the application range of the model, unable to accurately give real-time change information, etc., and achieve the effect of improving the prediction accuracy
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[0064] Example 1, such as figure 1 As shown, the present embodiment discloses a GNSS measurement-based empirical ionospheric model data-driven method, including the following steps:
[0065] Step 1. Establish a regional or global ionospheric vertical total electron content (VTEC) distribution calculation model based on GNSS measured data:
[0066] Establish GNSS-based code pseudo-range measurement equation:
[0067]
[0068] Where: P 1 and P 2 represent f respectively 1 and f 2 The code pseudo-range measurement value observed on the frequency band, ρ' represents the real distance between the satellite S and the receiver R, I represents the ionospheric delay, c is the speed of light, respectively represent the hardware delay of satellite S in the corresponding frequency band, Represent the hardware delay of satellite S in the corresponding frequency band;
[0069] Establish the GNSS-based carrier phase measurement equation:
[0070]
[0071] Among them: L 1 a...
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