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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