An artificial neural network digital design for time difference of arrival method used on passive multistatic radars

  • Authors:

  • Nikos J. Farsaris

  • Affiliations:

  • Aristotle University of Thessaloniki, Faculty of Electrical and Computer Engineering, Telecommunication Dept., Thessaloniki, Greece

  • Venue:
  • NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
  • Year:
  • 2009

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Abstract

The paper briefly describes the use of artificial neural networks for time difference of arrival method of acquisition and tracking of maneuverable and ballistic targets. For real time target detection a second order recurrent artificial neural network is designed and simulated in order to examine the capabilities and limitations of such a system. Simulation of target trajectories are made proving that a system implementing the above methods can be constructed and exploited as a tracking radar with the obvious advantages of a passive system (no transmitted power in radar bands) and modest gain antennas (of small dimensions thus easily portable or mobile).