Abstract
Aimed at the requirement of high estimation precision and real time in the real in-flight alignment application, a method of extended Kalman filter base on model error predictive (MEP-EKF) is used for micro inertial measurement unit (MIMU) in-flight alignment. The simulation results show that this method has better precision of the azimuth than those of extended Kalman filter (EKF) and imscenled Kalman filler (UKF) during the different maneuvers, and the heading error decreases very quickly from large value 30° to around 1°. Furthermore, MEP-EKF needs less computation time than UKF, only 17% of UKF.
| Original language | English |
|---|---|
| Pages (from-to) | 1395-1400 |
| Number of pages | 6 |
| Journal | Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica |
| Volume | 28 |
| Issue number | 6 |
| State | Published - Nov 2007 |
Keywords
- EKF
- GPS
- In-flight alignment
- MIMU
- Predictive filter
- Strapdown inertial navigation system
- UKF
Fingerprint
Dive into the research topics of 'Fast in-flight alignment method for MIMU under large attitude errors'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver