• DocumentCode
    1128138
  • Title

    Deterministic Blind Channel Estimation for a Block Transmission System Using Fractional Sampling and Interpolation

  • Author

    Murakami, Hideo

  • Author_Institution
    Kanazawa Inst. of Technol., Kanazawa
  • Volume
    55
  • Issue
    10
  • fYear
    2007
  • Firstpage
    4969
  • Lastpage
    4978
  • Abstract
    This paper introduces a blind channel estimation method for a block transmission system using fractional sampling at a receiver. In most digital communication systems, low-pass filters are placed at a transmitter to confine the transmitting waveform to an allocated bandwidth and at a receiver to improve the signal-to-noise (SNR) power ratio. Consequently, if the received waveform is sampled with sufficiently fast rate, the resulting discrete-time signal is band-limited and exhibits a smooth waveform. The method exploits this property for estimating the channel impulse response, via an interpolation formula. The method does not require knowledge of input statistics or the autocorrelation of the received signal. It is free of channel order estimation and thus robust against its overestimation. Moreover, the algorithm is quite efficient because it does not need to compute eigenvalues of a matrix.
  • Keywords
    bandwidth allocation; channel estimation; digital communication; eigenvalues and eigenfunctions; interpolation; low-pass filters; matrix algebra; sampling methods; bandwidth allocation; blind channel estimation; block transmission system; digital communication systems; eigenvalues; fractional sampling; interpolation; low pass filters; matrix; signal to noise power ratio; Autocorrelation; Bandwidth; Blind equalizers; Digital communication; Digital filters; Interpolation; Low pass filters; Sampling methods; Statistics; Transmitters; Blind channel estimation; block transmission; deterministic estimation; fractionally sampled estimation; interpolation; orthogonal-frequency-division multiplexing (OFDM);
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2007.896289
  • Filename
    4305451