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Target Behaviour Tendency Estimation Using Fuzzy Logic

  • Albena Tchamova
  • Tzvetan Semerdjiev
Conference paper
Part of the Lecture Notes in Computer Science book series (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.

Keywords

Fuzzy Logic Noise Reduction Fuzzy Model Target Behaviour Fuzzy Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Blackman S., Populi R.: Design and Analysis of Modern Tracking Systems (1999)Google Scholar
  2. 2.
    Mendel J. M.: Fuzzy Logic Systems for Engineering: A Tutorial, Proc. of the IEEE, Vol. 83, No.3, March, 1995, 345–377.Google Scholar
  3. 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.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Albena Tchamova
    • 1
  • Tzvetan Semerdjiev
    • 1
  1. 1.Central Laboratory for Parallel ProcessingBulgarian Academy of SciencesSofiaBulgaria

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