ARIMA Model for GNSS Positioning Error Prediction in Urban Canyon Environments
Using the ARIMA model to model and predict GNSS positioning errors in urban canyon environments. GNSS errors often exhibit time-related trends, seasonal components, and random disturbances. This code constructs a simulated error sequence that includes trends, seasonality, and noise, and divides it into training and testing sets. It then iterates through multiple sets of ARIMA(p,d,q) … Read more