• DocumentCode
    1292915
  • Title

    Zero-forcing equalizability of FIR and IIR multichannel systems with and without perfect measurements

  • Author

    Bai, Erwei ; Ding, Zhi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
  • Volume
    48
  • Issue
    1
  • fYear
    2000
  • fDate
    1/1/2000 12:00:00 AM
  • Firstpage
    17
  • Lastpage
    22
  • Abstract
    We study the linear zero-forcing equalizability of a communication channel. Necessary and sufficient conditions are given in terms of the zeros of the transfer function. Detailed procedures of equalizer design for minimum sensitivity with respect to modeling errors and white noise are also presented. It is found that the worst case effect of channel mismatch on the performance may be modeled as equivalent losses in signal-to-noise ratio
  • Keywords
    MIMO systems; equalisers; losses; poles and zeros; telecommunication channels; transfer functions; transient response; white noise; FIR multichannel system; IIR multichannel system; MIMO system; SIMO system; SNR; channel mismatch; communication channel equalization; equalizer design; equivalent losses; linear zero-forcing equalizability; modeling errors; necessary conditions; perfect measurements; performance; signal-to-noise ratio; sufficient conditions; transfer function zeros; white noise; Communication channels; Equalizers; Finite impulse response filter; Linear systems; Performance loss; Polynomials; Signal to noise ratio; Sufficient conditions; Transfer functions; White noise;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.818868
  • Filename
    818868