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Neural network identification and characterization of digital satellite channels: application to fault detection

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3 Author(s)
M. Ibnkahla ; Nat. Polytech. Inst. of Toulouse, France ; J. Sombrin ; F. Castanie

The paper proposes a neural network technique to adaptively model and characterize digital satellite channels. The neural network model allows to identify each component of the channel by the use of the channel input-output signals as learning data. This technique was applied to fault detection in digital satellite links, especially those arising in on-board devices. The paper gives simulation examples of changes in the on-board filter characteristics. Our adaptive method allows to determine the origins of the changes and gives the new characteristics of the channel

Published in:

Communications, 1997. ICC '97 Montreal, Towards the Knowledge Millennium. 1997 IEEE International Conference on  (Volume:3 )

Date of Conference:

8-12 Jun 1997