Long baseline network RTK reliable positioning method considering ionospheric modeling uncertainty

Abstract

The application discloses a long baseline network RTK reliable positioning method considering ionospheric modeling uncertainty. Firstly, ionospheric delay is modeled and ionospheric residual interpolation standard deviation is calculated in a network RTK resolving unit, and the standard deviation represents the uncertainty of ionospheric delay modeling. The network RTK monitoring station unit fits the ionospheric modeling residual and the ionospheric residual interpolation standard deviation to obtain a fitting function. The network RTK resolving unit processes the ionospheric residual interpolation standard deviation by using the fitting function, and broadcasts the fitting function to network RTK terminals through a communication protocol. The network RTK terminal weakens the ionospheric modeling residual by using the ionospheric residual interpolation standard deviation provided by the network RTK resolving unit based on an ionospheric weighted model, and realizes high-precision and reliable positioning in a period with large ionospheric delay modeling residual.

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