A generalized, outage period-aware CNN-BiLSTM architecture for real-world INS/GPS deployment under extended GNSS denials
A DeGIN (Deep GPS Increment Network) is proposed, which is a hybrid CNN-BiLSTM architecture for predicting GNSS position correction increments in latitude and longitude during signal outages, and achieves higher accuracy and better generalization than conventional baselines and recent deep learning approaches.