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Orthogonal neural network based pbkp_redistortion for OFDM systems

Abstract:

This paper proposes a pbkp_redistortion scheme based on an orthogonal hidden layer feedforward neural network for reducing nonlinear distortion introduced by a traveling wave tube amplifier (TWTA) over orthogonal frequency division multiplexing (OFDM) signals. In pbkp_redistorter, the inputs weight are fixed and based on this the output weights are analytically determined. Computer simulation results confirm that once the 16QAM-OFDM signals are pbkp_redistorted and amplified at an input back-off level of 0 dB there is a bit error rate performance very close to the ideal case of linear amplification. © 2007 IEEE.

Año de publicación:

2007

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Red neuronal artificial
    • Ciencias de la computación

    Áreas temáticas:

    • Ciencias de la computación

    Contribuidores:

    Cubillos C.Cubillos C.
    Nibaldo RodríguezNibaldo Rodríguez