The Kalman Filter for Complex Fibonacci Systems

Author

Donoghue, John

Source

ISRN Signal Processing

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-06-19

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Electronic engineering
Information Technology and Computer Science

Abstract EN

This paper investigates the characteristics of the Kalman filter for a broad class of complex Fibonacci systems and represents an extension to the complex domain of the state estimation problem for the real-valued Fibonacci system.

Complex Fibonacci systems are obtained by modifying the real-valued Fibonacci recurrence relation to include complex coefficients, control and noise inputs, and a noisy output-measurement equation.

Analytic expressions for the Kalman filter’s steady-state gain and error covariance matrices are obtained, and it is found that for a broad subclass of these complex systems the elements of the matrices are functions of the golden ratio.

American Psychological Association (APA)

Donoghue, John. 2012. The Kalman Filter for Complex Fibonacci Systems. ISRN Signal Processing،Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-486696

Modern Language Association (MLA)

Donoghue, John. The Kalman Filter for Complex Fibonacci Systems. ISRN Signal Processing No. 2012 (2012), pp.1-5.
https://search.emarefa.net/detail/BIM-486696

American Medical Association (AMA)

Donoghue, John. The Kalman Filter for Complex Fibonacci Systems. ISRN Signal Processing. 2012. Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-486696

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-486696