NDLI: RF Power Amplifier Behavioral Modeling using a Globally Recurrent Neural Network

Content Provider	IEEE Xplore Digital Library
Author	O'Brien, B. Dooley, J. Brazil, T.J.
Copyright Year	2006
Description	Author affiliation: Sch. of Electr., Electron. & Mech. Eng., Univ. Coll., Dublin (O'Brien, B.; Dooley, J.; Brazil, T.J.)
Abstract	In this paper it is shown that a globally recurrent time delay neural network can accurately model a nonlinear RF power amplifier having significant memory. The recognized difficulty of training a recurrent neural network is overcome by reducing it initially to a feed forward network, training that network, and then using the weights established by this training sequence in a restructured recurrent network. The training of the recurrent network thus reduces to the training of a feed forward network and a simple restructuring. The required maximum input delay is established by examination of the temporal profile of the energy contained in the amplifier impulse response. The model was successfully trained with an RF pass band time domain multi-sine signal and subsequently validated with another multi-sine signal composed of different sine components at different amplitudes. A second model trained with a wider bandwidth multi-sine was successfully validated with a W-CDMA signal
Starting Page	1089
Ending Page	1092
File Size	4232042
Page Count	4
File Format	PDF
ISBN	0780395417
ISSN	0149645X
DOI	10.1109/MWSYM.2006.249952
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Power amplifiers Radiofrequency amplifiers Recurrent neural networks Feeds RF signals Delay effects Neural networks Bandwidth Multiaccess communication recurrent neural networks Behavioral modeling neural networks power amplifiers
Content Type	Text
Resource Type	Article
Subject	Condensed Matter Physics Electrical and Electronic Engineering Radiation

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