Multiplicative neural network with swarm intelligence for multicarrier transmitter

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Abstract

In this paper, we propose a novel effective distortion compensation scheme suitably developed to reduce nonlinearities of the traveling wave tube amplifier (TWTA) in orthogonal frequency division multiplexing (OFDM) systems at the multicarrier transmitter side. This compensator is developed in order to combine in the most effective way the capability of the quantum particle swarm optimization technique and multiplicative neural networks. The compensator effectiveness has been tested through computer simulations. The improvements in the reduction of constellation warping and enhanced performance in terms of the bit error rate (BER) are offered for the TWTA with an input back-off level of 0 dB.

Original languageEnglish
Title of host publicationICEIS 2008 - Proceedings of the 10th International Conference on Enterprise Information Systems
Pages575-578
Number of pages4
StatePublished - 1 Dec 2008
EventICEIS 2008 - 10th International Conference on Enterprise Information Systems - Barcelona, Spain
Duration: 12 Jun 200816 Jun 2008

Publication series

NameICEIS 2008 - Proceedings of the 10th International Conference on Enterprise Information Systems
VolumeAIDSS

Conference

ConferenceICEIS 2008 - 10th International Conference on Enterprise Information Systems
CountrySpain
CityBarcelona
Period12/06/0816/06/08

Keywords

  • Multicarrier communications
  • Neural networks
  • Swarm intelligence

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