RTU Research Information System
Publikācija: Adaptive Extended Kalman Filter for Navigation Data Processing
| Publication Type | Scientific article indexed in SCOPUS or WOS database |
|---|---|
| Funding for basic activity | Unknown |
| Defending: | , |
| Publication language | English (en) |
| Title in original language | Adaptive Extended Kalman Filter for Navigation Data Processing |
| Field of research | 2. Engineering and technology |
| Sub-field of research | 2.2 Electrical engineering, Electronic engineering, Information and communication engineering |
| Authors |
Ansis Klūga
Vadims Bistrovs |
| Keywords | Extended Kalman Filter, MEMS IMU, GPS. |
| Abstract | To develop GPS and inertial sensor data fusion algorithm, which takes in account nonlinearity of MEMS (microelectromechanical) sensor model and improves performance metrics of navigation during GPS signal outages. This algorithm estimates velocity, position of vehicle, bias and scale factor of accelerometer. The developed algorithm was applied for kinematics data processing with simulated period of GPS signal outage. The implementation of algorithm was done using MATLAB's programming language. |
| DOI: | 10.5755/j01.eee.122.6.1818 |
| Reference | Klūga, A., Bistrovs, V. Adaptive Extended Kalman Filter for Navigation Data Processing. Electronics and Electrical Engineering, 2012, Vol.122, No.6, pp.37-40. ISSN 1392-1215. e-ISSN 2029-5731. Available from: doi:10.5755/j01.eee.122.6.1818 |
| Additional information |
Citation count: |
| ID | 13296 |
