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Tracking Aircrafts by Using Impulse Exclusive Filter with RBF Neural Networks

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Book cover Artificial Intelligence and Neural Networks (TAINN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3949))

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Abstract

Target Tracking based on Artificial Neural Networks has become a very important research field in Dynamic Signal Processing. In this paper, a new Target Tracking filter, entitled RBF neural network based Target Tracking Filter, RBF-TT, has been proposed. The tracking performance of the proposed filter, RBF-TT, has also been compared with the classical Kalman Filter based Target Tracking algorithm. Predictions during experiments have been made for the civil aircraft positions, one step ahead in real time. Extensive simulations revealed that the proposed filter supplies superior tracking performances to the Kalman Filter based comparison filter.

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Author information

Authors and Affiliations

  1. Civil Aviation School, Department of Aircraft Electrics and Electronics, Erciyes University, 38039, Kayseri, Turkey

    Pınar Çivicioğlu

Authors
  1. Pınar Çivicioğlu
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Editor information

Editors and Affiliations

  1. Izmir Institute of Technology, Electrical Electronics Engineering, Gülbahçe, Urla, Izmir, Turkey

    F. Acar Savacı

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© 2006 Springer-Verlag Berlin Heidelberg

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Çivicioğlu, P. (2006). Tracking Aircrafts by Using Impulse Exclusive Filter with RBF Neural Networks. In: Savacı, F.A. (eds) Artificial Intelligence and Neural Networks. TAINN 2005. Lecture Notes in Computer Science(), vol 3949. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11803089_8

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  • DOI: https://doi.org/10.1007/11803089_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36713-0

  • Online ISBN: 978-3-540-36861-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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