Attenuation prediction for fade mitigation using neural network with in situ learning algorithm

Author:

Roy Bijoy,Acharya Rajat,Sivaraman M.R.

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference18 articles.

1. A neural network model for the separation of atmospheric effects on attenuation: application to frequency scaling;Barthes;Radio Science,2006

2. Bolea-Alamanac, A., Bousquet, M., Castanet, L., et al. Implementation of short term prediction models in fade mitigation techniques control loops, in: Joint COST 272/280 Workshop, ESA/ESTEC, Noordwijk, The Netherlands, 26–28 May, 2003.

3. Castanet, L., Lemorton, J., Bousquet, M. A modular simulation tool of interference and fade mitigation techniques applied to millimeter-wave SATCOM systems, in: The First International Workshop of COST Action 280, Toulouse, France, July 2002.

4. Neural network approach to short-term fade prediction on satellite links;Chambers;Electronics Letters,2005

5. Near-optimum short-term fade prediction on satellite links at Ka and V-bands;Chambers;International Journal of Satellite Communications and Networking,2008

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