Informativeness of parallel kalman filters

Chingiz Hajiyev*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Pages (from-to)457-462
Number of pages6
JournalMathematical and Computational Applications
Issue number3
Publication statusPublished - Dec 2004


  • Dynamic system
  • Information theory
  • Kalman Filter
  • Multichannel measurement systems


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