Title :
Neural Network Predistortion Technique for Nonlinear RF Amplifiers
Author :
Yang, Jiantao ; Gao, Jun ; Jiang, Fan
Author_Institution :
Dept of Commun. Eng., Naval Univ. of Eng., Wuhan
Abstract :
This paper presents a new predistortion scheme based on cascade-correlation (CasCor) neural network for high-power amplifier (HPA) with memory in an orthogonal frequency division multiplexing(OFDM) system. An efficient algorithm to update the neural network weights parameters is derived.Simulation results show that the proposed neural network predistorter not only suppresses out-of-band spectrum emission , but also reduces in-band distortion caused by nonlinear HPA effectively.
Keywords :
OFDM modulation; cascade networks; distortion; neural nets; power amplifiers; radiofrequency amplifiers; cascade-correlation neural network; high-power amplifier; in-band distortion; neural network predistortion technique; nonlinear RF amplifiers; orthogonal frequency division multiplexing system; spectrum emission; Baseband; Costs; Degradation; High power amplifiers; Neural networks; Nonlinear distortion; OFDM; Predistortion; Radiofrequency amplifiers; Signal processing algorithms; memory; neural network; power amplifier; predistortion;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1529
