The Kalman filter and its extensions has been widely studied and applied in positioning, in
part because its low computational complexity is well suited to small mobile devices. While …

Kalman filtering is very efficient for data fusion, in which the definition of the process and
measurement noises (ie the matrices Q and R, respectively) greatly influences the filter …

An integrated navigation information system must know continuously the current position
with a good precision. The required performance of the positioning module is achieved by …

In the GNSS/INS integrated navigation system, the accuracy of square‐root cubature
Kalman filter (SCKF) will be reduced when the process model is not precisely known. To …

Nonlinear state estimation problem is an important and complex topic, especially for real-
time applications with a highly nonlinear environment. This scenario concerns most …

Implementing the global positioning system (GPS) total carrier phase observations based on
the precise point positioning (PPP) technique in a navigation Kalman filter can improve the …

The tightly coupled INS/GPS integration introduces nonlinearity to the measurement
equation of the Kalman filter due to the use of raw GPS pseudorange measurements. The …

The integration of the BeiDou Navigation Satellite System (BDS) and the Inertial Navigation
System (INS) can provide a more reliable and accurate navigation service than either …

Inertial navigation system (INS) is the most common positioning system in the underwater
vehicle due to the limitations of penetration of the global navigation system. Amendment of …

As an alternative fusion process of the federated Kalman filter, a gain fusion algorithm is
newly proposed in this paper. In this algorithm the optimal covariance and estimate are …