• DocumentCode
    2718963
  • Title

    An Adaptive Blind Channel Estimation for OFDM Systems with Multimedia by Enhanced H-Infinity Approach

  • Author

    Naganjaneyulu, P.V. ; Prasad, K. Satya

  • Author_Institution
    V.R.S & Y.R.N Coll. of Engg. & Tech., Chirala
  • Volume
    4
  • fYear
    2007
  • fDate
    13-15 Dec. 2007
  • Firstpage
    252
  • Lastpage
    261
  • Abstract
    The aim of this paper is to estimate the channel characteristics of OFDM communication system by using enhanced Hinfin approach and comparing the result with existing Kalman channel estimator. This estimation criterion is different with Kalman filter. These two algorithms fail when high data is to be transmitted. In general, blind channel estimation method cannot handle multimedia services (high data rate). In order to estimate these high data rate, we are proposing this improved H-infinity approach. This improved H-infinity approach is proposed to overcome the drawback of kalman and H-infinity at overall SNR environment. At very Low SNR the characteristics of both H-infinity and Kalman gives the same performance. In order to improve this performance we are proposing this new estimation process, for handling High Data rates (multimedia services).
  • Keywords
    Kalman filters; OFDM modulation; channel estimation; multimedia communication; Kalman channel estimator; Kalman filter; OFDM communication system; OFDM systems; adaptive blind channel estimation; channel characteristics; enhanced H-infinity approach; estimation criterion; multimedia services; Bandwidth; Blind equalizers; Channel estimation; Fading; Fast Fourier transforms; H infinity control; Interference; Kalman filters; Multimedia systems; OFDM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
  • Conference_Location
    Sivakasi, Tamil Nadu
  • Print_ISBN
    0-7695-3050-8
  • Type

    conf

  • DOI
    10.1109/ICCIMA.2007.376
  • Filename
    4426487