• DocumentCode
    1681108
  • Title

    Mixed analog/digital implementation of MLP NN for predistortion

  • Author

    Langlet, F. ; Roviras, D. ; Mallet, A. ; Castanié, F.

  • Author_Institution
    TeSA, ENSEEIHT, Toulouse, France
  • Volume
    3
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    2825
  • Lastpage
    2830
  • Abstract
    In this paper, we present an adaptive predistortion technique for a regenerative satellite downlink with a 100 Mbits/s data rate. This link consists of an I/Q 16-QAM modulator followed by a solid state power amplifier (SSPA) on board the satellite. The memoryless amplifier gives two kinds of distortion: amplitude distortion (AM/AM conversion) and phase distortion (AM/PM conversion). Predistortion is realized with multi-layer perceptron (MLP) neural networks (NN). We present a mixed analog/digital implementation of the algorithm. We analyze the implementation imperfection effects for comparison with the theoretical algorithm
  • Keywords
    CMOS integrated circuits; adaptive signal processing; amplitude modulation; electric distortion; mixed analogue-digital integrated circuits; multilayer perceptrons; neural chips; phase modulation; satellite links; 100 Mbit/s; AM/AM conversion; AM/PM conversion; CMOS technology; I/Q 16-QAM modulator; MLP NN; SSPA; adaptive predistortion technique; algorithm imperfection effects; amplitude distortion; computer simulations; memoryless amplifier; mixed analog/digital implementation; multi-layer perceptron neural networks; phase distortion; regenerative satellite down link; solid state power amplifier; Algorithm design and analysis; Downlink; Multi-layer neural network; Multilayer perceptrons; Neural networks; Phase distortion; Power amplifiers; Predistortion; Satellites; Solid state circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1007596
  • Filename
    1007596