• DocumentCode
    3539163
  • Title

    Analysis Of channel estimators in FFT based OFDM systems

  • Author

    Deb, Arpita ; Prakash, Asmita ; Juliet, A. Mary

  • Author_Institution
    Dept. of Electron. & Telecommun., Sathyabama Univ., Chennai, India
  • fYear
    2015
  • fDate
    19-20 March 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the increasing demand for better performance, capacity and higher bit rate in wireless communication systems, it is necessary to integrate wide variety communication services such as high speed data, video and voice signals. In this paper we propose to study the performance of channel estimation based on the algorithms LS, MMSE, P-MMSE and SP-MMSE in OFDM (Orthogonal Frequency Division Multiplexing) system, which suffers from various interference losses. Here, the parameters MSE, BER, SNR are considered for the analysis of a better estimator to obtain maximum channel state information. Through the simulation results, it can be established that the estimators PMMSE and SP-MMSE has a considerable lower MSE (Mean Square Error) than the other estimators. The BER performance of PMMSE and SP-MMSE is also much better than that of the conventional estimators like LS, MMSE.
  • Keywords
    OFDM modulation; channel estimation; error statistics; least mean squares methods; wireless channels; BER; FFT based OFDM system; LS; P-MMSE; SNR; SP-MMSE; channel estimator analysis; channel state information; mean square error method; orthogonal frequency division multiplexing system; wireless communication system; Bit error rate; Channel estimation; Conferences; Estimation; Fading; OFDM; Receivers; BER; FFT; LS; MMSE; MSE; OFDM; PMMSE; SP-MMSE;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6817-6
  • Type

    conf

  • DOI
    10.1109/ICIIECS.2015.7192901
  • Filename
    7192901