Orthogonal neural network for nonlinearities reduction of multicarrier transmitters

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007
Páginas305-310
Número de páginas6
DOI
EstadoPublicada - 24 dic. 2008
Evento2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007 - Aguascalientes, México
Duración: 4 nov. 200710 nov. 2007

Serie de la publicación

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

Conferencia

Conferencia2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007
País/TerritorioMéxico
CiudadAguascalientes
Período4/11/0710/11/07

Huella

Profundice en los temas de investigación de 'Orthogonal neural network for nonlinearities reduction of multicarrier transmitters'. En conjunto forman una huella única.

Citar esto