• DocumentCode
    1700229
  • Title

    Channel estimation and equalization using backpropagation neural networks in OFDM systems

  • Author

    Moustafa, Mohamed M A ; El-Ramly, Salwa H A

  • Author_Institution
    Commun. & Electron. Eng., Akhbar El Yom Acad., 6th of October City
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Orthogonal frequency-division multiplexing (OFDM) systems are used to improve communication quality and capacity. This paper proposes using backpropagation neural networks (BPNNs) for channel estimation and equalization for OFDM systems. Simulation results show that the BER performance of the BPNN technique is better than other considered technique.
  • Keywords
    OFDM modulation; backpropagation; channel estimation; equalisers; neural nets; telecommunication computing; backpropagation neural networks; channel equalization; channel estimation; communication capacity; communication quality; orthogonal frequency-division multiplexing; Backpropagation algorithms; Baseband; Channel estimation; Fading; Frequency estimation; Neural networks; OFDM modulation; Quadrature amplitude modulation; Transmitters; Wireless communication; BPNN; Channel estimation; OFDM; equalization; flat fading;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Optical Communications Networks, 2009. WOCN '09. IFIP International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-4704-6
  • Electronic_ISBN
    978-1-4244-3474-9
  • Type

    conf

  • DOI
    10.1109/WOCN.2009.5010528
  • Filename
    5010528
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1700229