Aiming at addressing the problem of high computational cost of the traditional Kalman filter
in SINS/GPS, a practical optimization algorithm with offline-derivation and parallel …

The GPS/INS integration is the good solution to provide a navigation system that has great
performance in comparison with either an INS or a GPS stand-alone system. The GPS/INS …

By minimizing the mean squared error, Kalman filter provides optimal estimates with exact
system models and precise statistical information of the noises, and the filter may fail or be …

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 …

To deal with the problem that process noise covariance matrix and measurement noise
covariance matrix in adaptive extended Kalman filtering algorithm cannot be estimated at …

A new rapid computation method for Kalman filtering is proposed. In this method, the
prediction of state covariance matrix is expanded directly rather than computing by a looping …

Abstract Information fusion of the GPS/INS integrated system is always related to
characteristics of the inertial system and the sensor feature, yet prior knowledge is still …

The Kalman filter based on singular value decomposition (SVD) can sufficiently reduce the
accumulation of rounding errors and is widely used in various applications with numerical …

As an emerging means of transportation for the intelligent transportation system (ITS) in
aviation and aerospace, hypersonic cruise vehicles (HCVs) have received numerous …

Kalman filter is the most frequently used algorithm in navigation applications. A conventional
Kalman filter (CKF) assumes that the statistics of the system noise are given. As long as the …