• DocumentCode
    2161689
  • Title

    Application research on demodulation system based on neural network technology

  • Author

    Wang, Ronghai ; Zhao, Limei ; Li, Min

  • Author_Institution
    Department of Information Engineering, Mianyang Vocational and Technical College, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    4387
  • Lastpage
    4390
  • Abstract
    Demodulation system is very important in modern communication technology and has a variety of applications. With the surge of the information quality and the need of high-speed information transfer, it is necessary to break through the traditional technology and further improve the performance of demodulation system. The paper introduces a demodulation system based on artificial neural network (ANN), and researches the system performance. ANN demodulation system has completely different inner structure and processing flow. Parameter and relative performance are gained by itself in course of studying so it has intellect, and the anti-jamming performance is better than that of traditional system; parallel processing method means the speed of ANN demodulator is faster than that of traditional method; specially, the ability that ANN demodulator can demodulate different signals by the same receiver shows a new thought for modern communication security Technology.
  • Keywords
    Amplitude shift keying; Artificial neural networks; Computer science; Demodulation; Frequency shift keying; Integrated circuit modeling; MATLAB; ANN; communication; demodulation; signal process; volatility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691770
  • Filename
    5691770