Title :
A New Pre-distorter Based on Neural Network for the Nonlinear HPA in Satellite Communications
Author :
Xu, Yong ; Tong, Xinhai
Author_Institution :
Inst. of Commun. & Technol., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
The Travel-Wave-Tube(TWT) used in the HPA in satellite communications may unexpectedly cause nonlinearity to the signals. A Pre-Distorter(PD) based on a feed-forward neural network will reduce these distortions. To simplify the conventional Levenberg-Marquardt algorithm for neural network, LMS algorithm is employed to reduce the complexity of the learning algorithm and a new scheme is proposed. Simulation results confirm that the proposed pre-distorter based on neural network consisting with one hidden layer and nine neurons gives a good performance improvement.
Keywords :
distortion; feedforward neural nets; satellite communication; telecommunication computing; travelling wave amplifiers; travelling wave tubes; LMS algorithm; Levenberg-Marquardt algorithm; TWT; feedforward neural network; high power amplifiers; learning algorithm; nonlinear HPA; predistorter; satellite communications; travel wave tube; Adaptation model; Adaptive systems; Algorithm design and analysis; Artificial neural networks; Least squares approximation; Modulation; Neurons; HPA; LMS; Neural Network; Pre-distortion; TWT;
Conference_Titel :
Communications and Intelligence Information Security (ICCIIS), 2010 International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-8649-6
Electronic_ISBN :
978-0-7695-4260-7
DOI :
10.1109/ICCIIS.2010.53
