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Orthogonal neural network for nonlinearities reduction of multicarrier transmitters

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. © 2008 IEEE.

Año de publicación:

2007

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Red neuronal artificial
    • Algoritmo
    • Simulación por computadora

    Áreas temáticas:

    • Ciencias de la computación

    Contribuidores:

    Cubillos C.Cubillos C.
    Durán O.Durán O.
    Nibaldo RodríguezNibaldo Rodríguez