The solution of noises in systems of laser communication satellites by artificial neural networks

  • Authors:

  • Marketa Mazalkova

  • Affiliations:

  • Department of Communication and Information Systems, University of Defence, Brno, Czech Republic

  • Venue:
  • ICCOM Proceedings of the 13th WSEAS international conference on Communications
  • Year:
  • 2009

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Abstract

Optical space communications is on the verge of being reality. The paper involves the introduction into laser satellite communication system. In the beginning it includes briefly analysis, optimization, design and system level development of signal transferring between satellites - laser satellite's equation which is the basic principle of whole communication system. In these systems - systems of laser satellites communication are lots of noises. It is focused on the noises' limits of the optical communication system. The paper solves the problems with noises' limits by various ways. One of the possibilities of problem resolution is solution due to artificial neural networks as a system for analysis and optimisation input and output parameters of laser satellite communication equation. It involves the introduction into artificial neural networks and description of Hopfield network, which is use for problem solution. There are mentioned the optical energy output on an aperture's spread of optical detector and incoherent detection of optical carrier wave.