In recent years, various new portable global navigation satellite system (GNSS) spoofers
have emerged that have become an important threat to the integrated inertial navigation …

The performance of navigation sensors may be seriously affected by the operating rotors of
a drone. To address this kind of disturbance, a low-cost multisensor integrated navigation …

The Kalman filter is an optimal estimator with numerous applications in technology,
especially in systems with Gaussian distributed noise. Moreover, the adaptive Kalman …

The synthetic aperture radar (SAR) interferometry (InSAR) has been developed for more
than 20 years for historical surface deformation reconstruction. In particular, the onboard …

The optimality of precise point postioning (PPP) solution using a Kalman filter is closely
connected to the quality of the a priori information about the process noise and the updated …

The accuracy of underwater acoustic positioning is greatly influenced by both systematic
error and gross error. Aiming at these problems, the paper proposes a robust zero-difference …

In order to incorporate the time smoothness of ionospheric delay to aid the cycle slip
detection, an adaptive Kalman filter is developed based on variance component estimation …

A robust state estimation technique based on the Huber-based Cubature Kalman Filter
(HCKF) is proposed for Global Positioning System (GPS) navigation processing. The …

When GPS signal measurements have outliers, using least squares (LS) estimation is likely
to give poor position estimates. One of the typical approaches to handle this problem is to …

The quality of kinematic navigation and positioning depends on the quality of the model
describing the vehicle movements and the reliability of the observations. An adaptive …