Tracking Aircrafts by Using Impulse Exclusive Filter with RBF Neural Networks

  • Pınar Çivicioğlu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3949)


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.


Kalman Filter Target Track Impulsive Noise Civil Aviation Radar Sensor 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Pınar Çivicioğlu
    • 1
  1. 1.Civil Aviation School, Department of Aircraft Electrics and ElectronicsErciyes UniversityKayseriTurkey

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