Ground-based augmentation system capable of predicting tropospheric refractive index with high precision

摘要

The present invention provides a ground-based augmentation system capable of predicting a tropospheric refractive index with high precision. The system includes a ground base station and an airborne receiver. The ground base station includes a ground acquisition device, a processor, and a transmitter. The ground acquisition device is configured to acquire meteorological parameters of a plurality of years, and use the acquired meteorological parameters as historical data. The processor is configured to call the historical data and establish a back propagation (BP) neural network to predict a refractive index. The transmitter is configured to send the refractive index predicted by the processor to the airborne receiver. With the present invention, the tropospheric refractive index is predicted for different weather conditions, thus improving the precision of tropospheric refractive index prediction.