Conference Paper

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

Nat. Polytech. Inst. of Toulouse
DOI: 10.1109/ICC.1997.594987 Conference: Communications, 1997. ICC 97 Montreal, 'Towards the Knowledge Millennium'. 1997 IEEE International Conference on, Volume: 3
Source: IEEE Xplore


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

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