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LAP Lambert Academic Publishing Artificial Neural Networks for Modeling TWTAs in Satellites

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Description

Advances in satellite technology have made it possible to use satellites to provide efficient and reliable communication to users across a wide geographical area. Modern communications satellites typically amplify many frequency carriers in a single amplifier. A study of satellite communication technologies and neural networks is made to understand the importance and features of both. Based on this study, a Neural Network approach is presented for modeling nonlinear memoryless communication channels in satellites. In particular, the approximation of the nonlinear characteristics of traveling-wave tube (TWT) amplifier used in satellite communication is studied and discussed.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
24 July 2014
Listed Since
16 August 2014

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