Abstract
Using the idea of multiscale analysis and by combining the model-based analysis method for dynamic systems with the multiscale signal transformation method, we put forward a new algorithm of multiscale distributed information fusion estimation. For multi-model dynamic systems having different descriptions for target state at different scales, at the finest scale we can obtain the optimal fusion estimations based on global information, which give a primary solution to the information fusion estimation of multiscale dynamic systems. This work enriches and develops the information fusion theory.
| Original language | English |
|---|---|
| Pages (from-to) | 158-165 |
| Number of pages | 8 |
| Journal | Zidonghua Xuebao/Acta Automatica Sinica |
| Volume | 27 |
| Issue number | 2 |
| State | Published - Mar 2001 |
| Externally published | Yes |
Keywords
- Data fusion
- Kalman filtering
- Multiscale analysis
- Wavelet transform