There has been an ever-increasing interest in multi-disciplinary research on multisensor
data fusion technology, driven by its versatility and diverse areas of application. Therefore …

If the system model or the statistical characteristics of noise are inaccurate, the past
measurements will directly affect the accuracy of current state estimation or even lead to …

The Center for Space Research and Assurance at the US Air Force Institute of Technology
investigates short-term tactical spacecraft missions that require frequent maneuvers. An …

Objectives: GNSS/SINS (global navigation satellite system/strapdown inertial navigation sys‑
tem) integrated navigation system has been widely used and researched. In complex …

To solve the problem that the standard Kalman filter cannot give the optimal solution when
the system model and stochastic information are unknown accurately, single fading factor …

Heavy-duty vehicles such as tractors, bulldozers, certain construction and municipal
vehicles, soil millers, forestry machinery etc. have a high demand for propulsion force and …

Abstract Airborne distributed Position and Orientation System (POS) depends on transfer
alignment to obtain high accuracy motion parameters of sub-systems by using accurate …

Proper construction of an unscented Kalman filter (UKF) for unit quaternionic systems is not
straightforward due to the incompatibility between the algebraic properties of the unit …

A new algorithm for adaptive non‐linear filter suitable for signal models with unknown
measurement noise covariance is presented here. The proposed adaptive filter is based on …

This paper investigates the multi-rate inertial and vision data fusion problem in nonlinear
attitude measurement systems, where the sampling rate of the inertial sensor is much faster …