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