Abstract
A new filtering Algorithm based on information fusion is presented in view of the research on integrated navigation system. This method overcomes the demerit of the same mathematical model in local and global filter, therefore improves the versatility of the system. The authors analyze the basic concept, model establishment and frame of the integrated navigation system in detail, then give the computer simulation for GPS/INS. The results show that this method is very useful because it can improve the accuracy and calculation speed of the system.
| Original language | English |
|---|---|
| Pages (from-to) | 1225-1227 |
| Number of pages | 3 |
| Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
| Volume | 29 |
| Issue number | 9 |
| Publication status | Published - Sept 2001 |
| Externally published | Yes |
Keywords
- Information fusion
- Integrated navigation
- Kalman filter