Near-optimal states estimation in dynamic systems with Gaussian noise has been extensively applied in research using Kalman filtering (KF). This method is especially useful …
The optimal performance of the Kalman filters is highly dependent on the measurement and process noise characteristics, making the whole system unable to achieve the desired …
Conventional Kalman filtering has been the widely used and accepted procedure for integrating the inertial navigation systems (INS) with the global positioning system (GPS). In …
S Hu, S Xu, D Wang, A Zhang - Sensors, 2015 - mdpi.com
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 …
DJ Jwo, SY Lai - The Journal of Navigation, 2009 - cambridge.org
A navigation integration processing scheme, called the strong tracking unscented Kalman filter (STUKF), is based on the combination of an unscented Kalman filter (UKF) and a strong …
LC Hun, OL Yeng, LT Sze, KV Chet - Real-time Systems, 2016 - books.google.com
Kalman filter was pioneered by Rudolf Emil Kalman in 1960, originally designed and developed to solve the navigation problem in Apollo Project. Since then, numerous …
AN Ramjattan, PA Cross - The Journal of Navigation, 1995 - cambridge.org
Unlike in the case of airborne and offshore applications, GPS cannot be used continuously for land vehicle navigation due to the loss of satellite signals by obstructions from buildings …
S Konatowski, T Sipa - Annual of Navigation, 2004 - bibliotekanauki.pl
Position estimation in integrated navigation systems often calls for operations on nonlinear system models. Dynamics nonlinearity of an object, which position we want to estimate …
A Valizadeh, H Hamidi - International Journal of Engineering, 2017 - ije.ir
In this paper, a mechanism is designed for integration of inertial navigation system information (INS) and global positioning system information (GPS). In this type of system a …