Aimed at the problem of nonlinear and time-varying noise characteristics in inertial and land-
based integrated navigation system, a cubature Kalman filter algorithm based on maximum …

The problem of estimating the state vector of a dynamical system from vector measurements
when it is known that the state vector satisfies norm equality constraints is considered. The …

This paper presents the real-time moving horizon estimation of a spacecraft's attitude and
sensor calibration parameters, applied to two space mission scenarios. In the first scenario …

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 …

An adaptive Kalman filtering approach is proposed for attitude determination to replace the
fixed (conventional) Kalman filtering approach. The filter is used to adaptively reflect system …

Kalman filter (KF) is an efficient approach for state estimation in integrated positioning
systems of global navigation satellite systems and inertial navigation systems (GNSS/INS) …

Core to integrated navigation systems is the concept of fusing noisy observations from GPS,
Inertial Measurement Units (IMU), and other available sensors. The current industry …

In ordinary aircrafts, the geographic coordinate is usually taken as reference coordinate to
build navigation systems. Changes of gravity field and radius caused by the non-perfect …

In the engineering applications, Kalman filter (KF) is the most commonly used for INS/GPS
integration. This KF-based integration is prone to divergence because of two typical …

The extended Kalman filter (EKF) has had the most widespread use in the vehicle integrated
GPS/DR navigation system. The detecting and controlling of the measurement outliers and …