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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.
| Autorius: | Sonia Gul |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2014 |
| Knygos puslapių skaičius: | 204 |
| ISBN-10: | 3848433230 |
| ISBN-13: | 9783848433230 |
| Formatas: | 220 x 150 x 13 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Artificial Neural Networks for Modeling TWTAs in Satellites“
