Reduction of Power Envelope Fluctuations in OFDM Signals by using Neural Networks Articles uri icon

publication date

  • July 2010

start page

  • 599

end page

  • 601

issue

  • 7

volume

  • 14

International Standard Serial Number (ISSN)

  • 1089-7798

Electronic International Standard Serial Number (EISSN)

  • 1558-2558

abstract

  • One of the main drawbacks of Orthogonal Frequency Division Multiplexing (OFDM) are the large fluctuations of its power envelope. In this letter, a novel and efficient scheme based on Multilayer Perceptron (MLP)
    Neural Networks (NN) is proposed. The NN synthesizes the Active
    Constellation Expansion - (ACE) technique which is able to drastically
    reduce envelope fluctuations. This is achieved with much lower
    complexity, faster convergence, and better performance compared to
    previously available methods.

subjects

  • Telecommunications

keywords

  • fluctuations;ofdm;neural networks;artificial neural networks;convergence;peak to average power ratio;neurons;gas insulated transmission lines;multilayer perceptrons;multi-layer neural network;ofdm;papr;cubic metric;neural networks