Abstract
This article considers the informativeness of parallel Kalman filters. Expressions are derived for determination of the amount of information obtained by additional measurements with a reserved measurement channel during processing. The theorems asserting that there is an increase in the informativeness of Kalman filters when there is a failure-free reserved measurement channel are proved.
| Original language | English |
|---|---|
| Pages (from-to) | 457-462 |
| Number of pages | 6 |
| Journal | Mathematical and Computational Applications |
| Volume | 9 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Dec 2004 |
Keywords
- Dynamic system
- Information theory
- Kalman Filter
- Multichannel measurement systems