• DocumentCode
    1707790
  • Title

    An accurate and low complex channel estimator for OFDM WiMAX

  • Author

    Mehlführer, Christian ; Caban, Sebastian ; Rupp, Markus

  • Author_Institution
    Inst. of Commun. & Radio-Freq. Eng., Vienna Univ. of Technol., Vienna
  • fYear
    2008
  • Firstpage
    922
  • Lastpage
    926
  • Abstract
    In this paper, we present an approximate LMMSE (ALMMSE) channel estimator for OFDM WiMAX. The ALMMSE estimator utilizes the inherent correlation between the channels of neighboring subcarriers to improve the least squares estimate by a spectral smoothing filter. We show that the covariance matrix of the channel, required for the calculation of the spectral smoothing filter, can be estimated from the LS channel estimate of the same receive frame. The complexity of the proposed ALMMSE estimator is considerably lower than the complexity of the exact LMMSE estimator while the performance loss is only about 0.3 dB in SNR. Our evaluation of the channel estimator performance is based on outdoor measurements in realistic WiMAX scenarios.
  • Keywords
    OFDM modulation; WiMax; channel estimation; covariance matrices; least mean squares methods; smoothing methods; spectral analysis; ALMMSE; OFDM WiMAX; approximate least minimum mean square error methods; covariance channel matrix; low complex channel estimator; orthogonal frequency division multiplexing; spectral smoothing filter; Channel estimation; Covariance matrix; Filters; Least squares approximation; OFDM; Smoothing methods; Throughput; Transmitting antennas; WiMAX; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
  • Conference_Location
    St Julians
  • Print_ISBN
    978-1-4244-1687-5
  • Electronic_ISBN
    978-1-4244-1688-2
  • Type

    conf

  • DOI
    10.1109/ISCCSP.2008.4537355
  • Filename
    4537355