Adaptive Unscented Kalman Filter

Volume: 13 Number: 1 June 1, 2011
  • Esin Köksal Babacan
  • Levent Özbek
  • Cenker Biçer
Journal of Balıkesir University Institute of Science and Technology Cover
Journal of Balıkesir University Institute of Science and Technology
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Adaptive Unscented Kalman Filter

Abstract

The well known conventional Kalman Filter requires an accurate system model and exact stochastic information. However, in a number of practical situations, the system information is partly known or incorrect. In this situation, the filter may diverge or give based estimate. To overcome the problem of divergence, it is necesary to made some changes and robustness in filtering process. Here arises the notion of adaptive filter. In this study, we propose a new adaptive Unscented Kalman Filter to compensate the effects of incomplete information and the estimation results are evaluated with a simulation study

Keywords

References

  1. [1] Kalman, R. E. (1960), A new Approach to Linear Filtering and Prediction Problems, Journal of Basic Engineering, Vol. 82; 35-45.
  2. [2] Chui, C. K. and Chen , G. (1991), Kalman Filtering with Real-time Applications, Springer-Verlag.
  3. [3] Özbek, L.,Aliev. F. (1998), Comments on Adaptive Fading Kalman Filter with an Application. Automatica, Vol. 34, No:12, pp. 1663-1664.
  4. [4] Julier, S. and Uhlmann, J. (1997), A New Extension of The Kalman Filter to Nonlinear Systems, In Int. Symp. Aerospace/Defense Sensing, Simul. and Controls, Orlando.
  5. [5] Almagbile, A., Wang, J. and Ding, W. (2010). Evaluating the Performances of Adaptive Kalman Filter Methods in GPS/INS Integration, Journal of Global Positioning Systems, Vol.9, No.1 :33-40.
  6. [6] Özbek, Levent; Köksal Babacan, Esin; Efe, Murat. Stochastic Stability of the Discrete-Time Constrained Extended Kalman Filter, Turk J. Elec. Eng. & Comp. Sci, Tübitak, Vol.18, No.2, 2010

Details

Primary Language

Turkish

Subjects

-

Journal Section

-

Authors

Esin Köksal Babacan This is me

Levent Özbek This is me

Cenker Biçer This is me

Publication Date

June 1, 2011

Submission Date

June 1, 2011

Acceptance Date

-

Published in Issue

Year 2011 Volume: 13 Number: 1

IZ

https://izlik.org/JA33WW64GZ

Cite

RIS / Bibtex
APA
Köksal Babacan, E., Özbek, L., & Biçer, C. (2011). Uyarlı Kokusuz Kalman Filtresi. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 13(1), 59-67. https://izlik.org/JA33WW64GZ
AMA
1.Köksal Babacan E, Özbek L, Biçer C. Uyarlı Kokusuz Kalman Filtresi. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2011;13(1):59-67. https://izlik.org/JA33WW64GZ
Chicago
Köksal Babacan, Esin, Levent Özbek, and Cenker Biçer. 2011. “Uyarlı Kokusuz Kalman Filtresi”. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi 13 (1): 59-67. https://izlik.org/JA33WW64GZ.
EndNote
Köksal Babacan E, Özbek L, Biçer C (June 1, 2011) Uyarlı Kokusuz Kalman Filtresi. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi 13 1 59–67.
IEEE
[1]E. Köksal Babacan, L. Özbek, and C. Biçer, “Uyarlı Kokusuz Kalman Filtresi”, Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 13, no. 1, pp. 59–67, June 2011, [Online]. Available: https://izlik.org/JA33WW64GZ
ISNAD
Köksal Babacan, Esin - Özbek, Levent - Biçer, Cenker. “Uyarlı Kokusuz Kalman Filtresi”. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi 13/1 (June 1, 2011): 59-67. https://izlik.org/JA33WW64GZ.
JAMA
1.Köksal Babacan E, Özbek L, Biçer C. Uyarlı Kokusuz Kalman Filtresi. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2011;13:59–67.
MLA
Köksal Babacan, Esin, et al. “Uyarlı Kokusuz Kalman Filtresi”. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 13, no. 1, June 2011, pp. 59-67, https://izlik.org/JA33WW64GZ.
Vancouver
1.Esin Köksal Babacan, Levent Özbek, Cenker Biçer. Uyarlı Kokusuz Kalman Filtresi. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi [Internet]. 2011 Jun. 1;13(1):59-67. Available from: https://izlik.org/JA33WW64GZ