This study considers an asynchronous multirate data integration problem in the linear state
space model with unknown and time-varying statistical parameters of the measurement …

In the conventional integrated navigation systems, such as direct Kalman filter, the statistical
information of the process and measurement noises is considered constant. In real …

In the conventional integrated navigation system, the statistical information of the process
and measurement noises is considered constant. However, due to the changing dynamic …

Aiming at the problem that the navigation performances of unmanned underwater vehicle
(UUV) may be affected by inaccurate prior navigation information and external …

This paper proposes a modified unscented Kalman filter (UKF) with both adaptivity and
robustness. In the proposed filter, the adaptivity is achieved by estimating the time-varying …

Abstract The Inertial Navigation System (INS)/Doppler Velocity Log (DVL) navigation system
is capable of locating the Autonomous Underwater Vehicle (AUV) in real-time. However …

A marine INS/GPS adaptive navigation system is presented. GPS with two antenna
providing vessel's altitude is selected as the auxiliary system fusing with INS to improve the …

The ocean-going environment is complex and changeable with great uncertainty, which
poses a huge challenge to the navigation ability of ships working in the pelagic ocean. In …

This paper considers the estimation of the process state and noise parameters when the
statistics of the process and measurement noise are unknown or time varying in the …

Information fusion is one of the key technologies in airborne multisource navigation, where
the federated filter is widely used due to its simple structure. However, the sensor …