The paper presents the mathematical and software models associated to a MEMS INS/GPS integrated navigator. As a data fusion method for the integration of the two navigators a Kalman filter is used. During the experimental evaluation of the synergic navigator on the inertial system were not performed calibration and error compensation procedures, the data being entered in the navigation algorithm in the raw form. By carrying out these procedures, it was desired the evaluation of the data fusion algorithm performance under extreme conditions, in which such compensations cannot be effectively done.
['Teodor Lucian Grigorie', 'Dragos George Sandu']
MEMS INS/GPS integrated structure evaluation with experimental data