Neural Network Model for Nonlinear Memoryless Communication Channels in Satellites
نویسندگان
چکیده
A technique of Satellite Communication technologies based on Neural Networks approach is proposed for modeling nonlinear memoryless communication channels in satellites. The input and output data of the Traveling Wave Tube Amplifier (TWTA) is taken and a Neural Network model is designed to simulate the functionality of TWTA. The idea is presented to use the learning quality and generalization of the Artificial Neural Network (ANN) to produce the same functionality and features as of TWTA used in Satellites. The C/N ratio for the proposed model based on the simulation results has been calculated up to 24.7901dB, which indicates the validity of the proposed solution.
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