Optimizing T-S fuzzy modeling for performance improvement of integrated GNSS /MEMS-IMU

Proposed a T-S Fuzzy to improve the performance of a integrated GNSS and MEMS-IMU which be used in a land vehicle. The T-S Fuzzy model is used to predict the position and velocity errors, inputs these errors to Kalman filter during GNSS signal outages. The performances of the model were simulated test and compared to the common Kalman filter. The results show the integrated system used the proposed model could keep significant accuracy during 20s GNSS signal outages.