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International Conference on Numerical Methods and Applications

NMA 2002: Numerical Methods and Applications pp 342–349Cite as

Target Behaviour Tendency Estimation Using Fuzzy Logic

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2542))

Abstract

The objective of this paper is to present an approach for targets’ behaviour tendency estimation. An algorithm for target behaviour tracking is developed and evaluated. It is based on Fuzzy Logic principles applied to conventional passive radar amplitude measurements. A set of fuzzy models is used to describe the tendencies of target behaviour. A noise reduction procedure is applied. The performance of the developed algorithm in the presence of noise is estimated on the base of computer simulations.

The research reported in this paper is partially supported by Center of Excellence BIS21 grant ICA1-2000-70016

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References

  1. Blackman S., Populi R.: Design and Analysis of Modern Tracking Systems (1999)

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  2. Mendel J. M.: Fuzzy Logic Systems for Engineering: A Tutorial, Proc. of the IEEE, Vol. 83, No.3, March, 1995, 345–377.

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  3. Zadeh L.: From Computing with Numbers to Computing with Words-From Manipulation of Measurements to Manipulation of Perceptions, IEEE Transactions on Circuits and Systems-Vol.45, No.1, January 1999.

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Author information

Authors and Affiliations

  1. Central Laboratory for Parallel Processing, Bulgarian Academy of Sciences, Acad G. Bonchev Str., Bl. 25-A, 1113, Sofia, Bulgaria

    Albena Tchamova & Tzvetan Semerdjiev

Authors
  1. Albena Tchamova
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  2. Tzvetan Semerdjiev
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Editor information

Editors and Affiliations

  1. Central Laboratory for Parallel Processing, Bulgarian Academy of Sciences, Acad. G. Bonchev, bl. 25A, 1113, Sofia, Bulgaria

    Ivan Dimov , Ivan Lirkov  & Svetozar Margenov ,  & 

  2. National Environmental Research Institute, Frederiksborgvej 399, P.O. Box 358, 4000, Roskilde, Denmark

    Zahari Zlatev

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© 2003 Springer-Verlag Berlin Heidelberg

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Tchamova, A., Semerdjiev, T. (2003). Target Behaviour Tendency Estimation Using Fuzzy Logic. 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_38

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  • DOI: https://doi.org/10.1007/3-540-36487-0_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00608-4

  • Online ISBN: 978-3-540-36487-0

  • eBook Packages: Springer Book Archive

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