Discrete time integrator comparison for an angle of arrival neural network detector on a transmitter: independent receiver network

  • Authors:

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

  • Affiliations:

  • Electromagnetic Radiation Measurements Laboratory, T.E.I. of Crete, Greece;Telecommunications Department, Electrical and Computer Engineering School, Aristotle University of Thessaloniki, Greece;Electronics and Computer Engineering Department, Technical University of Crete, Greece

  • Venue:
  • ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
  • Year:
  • 2006

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Abstract

A Recurrent First Order Artificial Neural Network may be used for target detection by Angle of Arrival on a Transmitter - Independent Receiver Network (multimode passive multistatic radar). In this paper a model of it is created and then simulation takes place in order to investigate the performance of various integration and accumulation methods. It is shown that construction simplicity that is essential to military systems is retained in this method in any case and the optimum integration method can be chosen.