| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 717493 | IFAC Proceedings Volumes | 2012 | 6 Pages |
Abstract
This paper presents an Extended Kalman Filter (EKF) based autonomous estimation technique to compute inertial velocities and attitudes of a fighter aircraft by fusing data from its linear acceleration sensors, rotation rate sensors and calibrated air data sensors. This technique is developed to monitor the health of signals from a simplex Inertial Navigation System (INS) installed on a high performance aircraft. Results using flight test data show good accuracy achieved for the computed parameters with respect to those obtained from a highly sophisticated GPS based INS.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
