Tracking of maneuvering and ballistic targets with a transmitter: independent receiver network using time difference of arrival and a second order recurrent artificial neural network

  • Authors:

  • Nikos J. Farsaris;Thomas D. Xenos;Peter P. Stavroulakis

  • Affiliations:

  • Telecommunications Department, Electrical and Computer Engineering Faculty, Aristotle University of Thessaloniki, Thessaloniki, Greece;Telecommunications Department, Electrical and Computer Engineering Faculty, Aristotle University of Thessaloniki, Thessaloniki, Greece;Electronics and Computer Engineering Department, Technical University of Crete, Crete, Greece

  • Venue:
  • ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
  • Year:
  • 2005

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Abstract

In this paper the time difference of arrival (TDOA) method is evaluated as a location and tracking method of maneuvering targets via measurements taken by totally passive multistatic radars (or transmitter - independent receiver networks - TIRN). For real time target detection a second order recurrent artificial neural network (ANN) is used. In order to examine the capabilities and limitations of such a system, simulation of several target trajectories are made proving that a system implementing ANN and TDOA can be constructed and exploited as a tracking radar with the obvious advantages of a passive system (no transmitted power) and relatively low gain antennas (of small dimensions thus easily portable or mobile).