• DocumentCode
    1554462
  • Title

    VSSO Kalman-usage of Barhumi´s pilot pattern for channel estimation in MIMO-OFDM systems

  • Author

    Karthik, M. ; Sreedhar, D.

  • Author_Institution
    STMicroelectron., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    48
  • Issue
    14
  • fYear
    2012
  • Firstpage
    883
  • Lastpage
    884
  • Abstract
    Vector state-scalar observation (VSSO) and vector state-vector observation (VSVO) are two types of Kalman channel estimators used in orthogonal frequency division multiplexing (OFDM) systems. VSSO Kalman channel estimators result in over 90% complexity savings, compared to VSVO Kalman channel estimators, without any loss of performance. Thus far, for frequency-selective channels, VSSO Kalman channel estimators have been proposed only for OFDM systems and not for MIMO-OFDM systems. VSVO Kalman channel estimators have been proposed for MIMO-OFDM systems over frequency-selective channels. Proposed is a VSSO Kalman channel estimator for MIMO-OFDM systems using Barhumi´s pilot pattern. It will be seen that the proposed VSSO Kalman channel estimator has much better performance than the method of Barhumi´s least-squares method (literature method) and this is achieved with only a moderate increase (two times) in complexity. Similarly, the proposed VSSO Kalman channel estimator has the same performance as the VSVO Kalman channel estimator method (literature method) and this is achieved at about (1/60)th of the complexity associated with the VSVO method.
  • Keywords
    Kalman filters; MIMO communication; OFDM modulation; channel estimation; least squares approximations; vectors; Barhumi least-squares method; Barhumi pilot pattern; MIMO-OFDM systems; VSSO Kalman channel estimators; VSSO Kalman-usage; VSVO Kalman channel estimators; channel estimation; complexity savings; frequency-selective channels; literature method; orthogonal frequency division multiplexing systems; vector state-scalar observation; vector state-vector observation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2012.0666
  • Filename
    6235180