Orthogonal neural network for nonlinearities reduction of multicarrier transmitters

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Abstract

An orthogonal neural network with Hermite activation function to reduce nonlinear distortion introduced by a traveling wave tube amplifier (TWTA) over a Multicarrier Transmitter is proposed. The neural network has the fixed input weights and only linear output weights are estimated using the Moore-Penrose generalized inverse method. Computer simulation results show that proposed neural network achieves excellent performance in nonlinearities reduction caused by TWTA. In addition, proposed scheme has a low complexity and fast convergence speed.

Original languageEnglish
Title of host publicationProceedings - 2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007
Pages305-310
Number of pages6
DOIs
StatePublished - 24 Dec 2008
Event2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007 - Aguascalientes, Mexico
Duration: 4 Nov 200710 Nov 2007

Publication series

NameProceedings - 2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007

Conference

Conference2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007
CountryMexico
CityAguascalientes
Period4/11/0710/11/07

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