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Article

Informativeness of Parallel Kalman Filters

by
Chingiz Hajiyev
Istanbul Technical University, Faculty of Aeronautics and Astronautics, 34469 Maslak, Turkey
Math. Comput. Appl. 2004, 9(3), 457-462; https://doi.org/10.3390/mca9030457
Published: 1 December 2004
Versions Notes

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.
Keywords: Dynamic system; Information theory; Kalman Filter; Multichannel measurement systems Dynamic system; Information theory; Kalman Filter; Multichannel measurement systems

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MDPI and ACS Style

Hajiyev, C. Informativeness of Parallel Kalman Filters. Math. Comput. Appl. 2004, 9, 457-462. https://doi.org/10.3390/mca9030457

AMA Style

Hajiyev C. Informativeness of Parallel Kalman Filters. Mathematical and Computational Applications. 2004; 9(3):457-462. https://doi.org/10.3390/mca9030457

Chicago/Turabian Style

Hajiyev, Chingiz. 2004. "Informativeness of Parallel Kalman Filters" Mathematical and Computational Applications 9, no. 3: 457-462. https://doi.org/10.3390/mca9030457

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