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 …

This paper presents an asynchronous direct Kalman filter (ADKF) approach for underwater
integrated navigation system to improve the performance of the prevalent indirect Kalman …

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 …

Inherent flaws in the extended Kalman filter (EKF) algorithm were pointed out and unscented
Kalman filter (UKF) was put forward as an alternative. Furthermore, a novel adaptive …

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

In this paper, a self-adaptive unscented Kalman filtering for underwater gravity aided
navigation is constructed. It is more accurate and far easier to implement than an extended …

The main challenge of Strap‐down Inertial Navigation System (SINS)/Doppler velocity log
(DVL) navigation system is the external measurement noise. Although the Sage–Husa …

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 this paper, an intelligent adaptive algorithm based on the integrated Inertial Navigation
System (INS) is presented for estimating the velocity of an Autonomous Underwater Vehicle …

The integrated navigation system with strapdown inertial navigation system (SINS), Beidou
(BD) receiver and Doppler velocity log (DVL) can be used in marine applications owing to …