Distributed Beidou position service center RTK product positioning method and positioning device
A location service and positioning method technology, applied in the field of satellite positioning, can solve problems affecting the accuracy of network RTK positioning, and achieve the effects of improving user experience, saving costs, and reducing transmission distances
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Embodiment 1
[0066] See figure 1 and figure 2 , figure 1 It is a schematic flow diagram of a distributed Beidou location service center RTK product positioning method provided by an embodiment of the present invention, figure 2 A schematic flow chart of ionospheric delay correction provided by an embodiment of the present invention.
[0067] The satellite signal is a kind of electromagnetic wave, and the phase velocity propagating in the ionosphere (the propagation velocity of the phase of the satellite signal of a single frequency) V p and the phase refractive index n in the ionosphere P There is the following relationship between:
[0068]
[0069] Among them, c is the speed of light in vacuum, n P is the phase refractive index in the ionosphere.
[0070] while the phase refractive index n P Can be expressed as:
[0071] no p =1-K 1 Nef -2 ±K 2 Ne(H 0 cosθ)f -3 -K 3 Ne 3 f -4 (2)
[0072] In formula (2),
[0073]
[0074] In formulas (2) and (3), Ne is the ele...
Embodiment 2
[0167] See Figure 5 , Figure 5 A structural schematic diagram of a distributed Beidou location service center RTK product positioning device provided by an embodiment of the present invention, the positioning device includes:
[0168] The data processing module is used to calculate the total electron content in the zenith direction of each piercing point according to the observation data.
[0169] A model building module, connected to the data processing module, used to establish a quasi-real-time ionospheric correction model in the low-density network area according to the total electron content in the zenith direction on the L×m×n puncture points, and calculate the model coefficient.
[0170] The parameter prediction module is connected with the model building module, and is used to predict the ionospheric correction parameters of the target period after the observation period according to the quasi-real-time ionospheric correction model of the low-density network area a...
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