The unscented Kalman filter (UKF) has proved to be a promising methodology to integrate
INS and GPS for vehicular navigation. Nevertheless, the disturbance suppression of system …

Abstract Information fusion method of INS/GPS navigation system based on filtering
technology is a research focus at present. In order to improve the precision of navigation …

Due to the high maneuverability of a hypersonic vehicle, the measurements for tightly
coupled INS/GNSS (inertial navigation system/global navigation satellite system) integration …

The optimal performance of the conventional Kalman filters is not guaranteed, when there is
uncertainty in the process and measurement noise covariances. In this paper, in order to …

It has been identified that the inertial system is not a completely observable system in the
absence of maneuvers. Although the velocity errors and the accelerometer bias in the …

Nowadays, the availability of the vehicle position gets more and more important. The use of
the Global Positioning System (GPS) receiver has solved this problem. Nevertheless, this …

The stationary self‐alignment and calibration (SSAC) for a low‐cost MEMS IMU is quite
challenging due to the poor observability of an inertial system under static condition and the …

To further improve the positioning accuracy of the multiple unmanned surface vessel (USV)
systems, we introduce an information fusion algorithm equipped with adaptive fuzzy logic …

The optimal performance of the Kalman filters is highly dependent on the measurement and
process noise characteristics, making the whole system unable to achieve the desired …

To enhance the capabilities of onboard autonomous guidance, navigation and control
systems, this thesis presents the development of two adaptive extended Kalman filter …