Integration of microelectromechanical system-based inertial navigation system (MEMS-INS)
and global positioning system (GPS) is a promising approach to vehicle localization …

This paper presents a hypothesis test-constrained robust Kalman filter for INS/GNSS (inertial
navigation system/global navigation satellite system) integrated navigation in the presence …

The matching algorithm is a key technology in underwater terrain-relative navigation (TRN).
An improved iterative Closest Contour Point (ICCP) matching algorithm is proposed to …

A robust interactive multiple model (RIMM) algorithm with the adaptive model set is
proposed to improve the performance of inertial navigation system (INS) and Doppler …

This article proposes a variational Bayesian (VB) approach for the identification of linear
parameter-varying (LPV) dual-rate systems when the measured data are contaminated with …

Autonomous vehicles make use of an Inertial Navigation System (INS) as part of vehicular
sensor fusion in many situations including GPS-denied environments such as dense urban …

In this brief, the state estimation problems of systems with unknown non-stationary heavy-
tailed noises are investigated. First, we present a new switching Gaussian-heavy-tailed …

The resolution accuracy of the inertial navigation system/global navigation satellite system
(INS/GNSS) integrated system would be degraded in challenging areas. This paper …

The traditional leader-follower Unmanned Aerial Vehicle (UAV) formation cooperative
positioning (CP) algorithm, based on relative ranging, requires at least four leader UAV …

In inertial navigation system and global navigation satellite system (INS/GNSS) integration,
the practical stochastic measurement noise may be non-stationary heavy-tailed distribution …