Robust GNSS/INS navigation using dynamic kernel weighting under abnormal observations
This work addresses robust GNSS/INS navigation in the presence of abnormal observations. To mitigate the impact of GNSS outliers and time-varying measurement disturbances, an innovation residual-driven dynamic kernel weighting scheme is incorporated into the error-state extended Kalman filter. Several robust kernels (L...