Multiplicative neural network with swarm intelligence for multicarrier transmitter

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Resumen

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.

Idioma originalInglés
Título de la publicación alojadaICEIS 2008 - Proceedings of the 10th International Conference on Enterprise Information Systems
Páginas575-578
Número de páginas4
EstadoPublicada - 2008
Publicado de forma externa
EventoICEIS 2008 - 10th International Conference on Enterprise Information Systems - Barcelona, Espana
Duración: 12 jun. 200816 jun. 2008

Serie de la publicación

NombreICEIS 2008 - Proceedings of the 10th International Conference on Enterprise Information Systems
VolumenAIDSS

Conferencia

ConferenciaICEIS 2008 - 10th International Conference on Enterprise Information Systems
País/TerritorioEspana
CiudadBarcelona
Período12/06/0816/06/08

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