Abstract
It is well known, that interacting multiple model (IMM) state estimation algorithm is one of the most cost-effective filters for tracking maneuvering targets. The present paper is related to the specifics of the IMM algorithm design. It combines the results, conclusions and experience of different authors considered in their papers. The results discussed and depicted here are root mean square errors and the filters ability to distinct the various flight phases. This paper helps the air traffic control experts fast and easy to make a decision which IMM configuration is suitable for a given problem.
Partially supported by Center of Excellence BIS21 grant ICA1-2000-70016
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bar-Shalom, Y., Li, X. R.: Multitarget-multisensor tracking: principles and techniques. Storrs, CT: YBS Publishing (1995)
Bar-Shalom, Y., Li, X. R.: Estimation and tracking: principles,techniques and software. Artech House, Boston, MA (1993)
Angelova, D., Jilkov, V., Semerdjiev, Tz.: State estimation of a nonlinear dynamic system by parallel algorithm. In: Proc. EUROMECH-2nd EUropean Nonlinear Oscilation Conf., Prague, September 9–13, (1996) 215–218
Munir, A., Atheron D.: Maneuvering target tracking using different turn rate models in the interacting multiple model algorithm. In: Proc. of the 34th Conf. on Decision and Control, New Orleans, LA-Desember (1995) 2747–2751
Bar-Shalom, Y.:Multitarget-Multisensor Tracking: Aplications and Advances, Volume II. Artech House, Boston, MA (1993)
Lero, D., Bar-Shalom Y.: Interactive Multiple Model Tracking with Target Amplitude Features. IEEE Trans. Aerospace and electronic systems. AES-29 (1993) 495–508
Angelova, D., Jilkov, V., Semerdjiev, Tz.: Tracking Maneuvering Target by Interacting Multiple model. Comtes rendus de l’Academie bulgare des Sciences Tome 49 (1996) 37–40
Herrero, J., Portas, J., López, J., Vela, Garcia, J.: Interactive Multiple Model Filter Optimisation Tool for Air Traffic Control Applications. In Proc.Fourth Annual Conf. on Information Fusion, Montréal, Québec, Canada (2001) TuB2–19–TuB2–26
Mazor, E., Averbuch, A., Bar-Shalom Y., Dayan, J.: Interacting Multiple Model Methods in Target Tracking: A Survey. IEEE Trans. Aerospace and electronic systems AES-34 (1998) 103–123
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Simeonova, I., Semerdjiev, T. (2003). About the Specifics of the IMM Algorithm Design. In: Dimov, I., Lirkov, I., Margenov, S., Zlatev, Z. (eds) Numerical Methods and Applications. NMA 2002. Lecture Notes in Computer Science, vol 2542. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36487-0_37
Download citation
DOI: https://doi.org/10.1007/3-540-36487-0_37
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00608-4
Online ISBN: 978-3-540-36487-0
eBook Packages: Springer Book Archive