Abstract
Since the shortcomings of navigation based on strap-down inertial navigation system (SINS), a new integrated mode of navigation is presented. The new mode is based on the SINS/Star sensor to improve the precision and speed of navigation system on the aircraft. Firstly, based on the projection of starlight in charge coupled device (CCD) and the coordinate of starlight in the navigation star storeroom, the expressions of starlight vector in the math platform reference frame and the geographical reference frame are got separately through the coordinate transformation. Then the starlight vector and the rate of attitude are fused, using the Kalman filter, to estimate the error estimation of integrated navigation system which can be used to correct the aircraft's position, velocity and attitude. The whole algorithm of integrated navigation using SINS/Star sensor is educed in details here, and the numerical results show that the new method is effective to improve the precision and calculation speed of autonomous navigation system and to provide with better fault tolerance ability and adaptability.
| Original language | English |
|---|---|
| Pages (from-to) | 84-89 |
| Number of pages | 6 |
| Journal | Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) |
| Volume | 35 |
| Issue number | SUPPL. |
| State | Published - Nov 2005 |
| Externally published | Yes |
Keywords
- Integrated navigation
- Kalman filtering
- Star sensor
- Starlight vector