Sonia Gul

Artificial Neural Networks for Modeling Twtas in Satellites Sonia Gul

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.