• DocumentCode
    394620
  • Title

    Exploiting symmetry in channel shortening equalizers

  • Author

    Martin, R.K. ; Johnson, C.R., Jr. ; Ding, M. ; Evans, B.L.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • Volume
    5
  • fYear
    2003
  • fDate
    6-10 April 2003
  • Abstract
    Time-domain equalization is crucial in reducing intercarrier and intersymbol interference in multicarrier systems. A channel shortening time-domain equalizer (TEQ), which is a finite impulse response (FIR) filter, placed in cascade with the channel, produces an effective impulse response that is shorter than the channel impulse response. We show that finite length minimum mean squared error (MMSE) and maximum shortening SNR (MSSNR) TEQs are approximately symmetric, and infinite length MSSNR TEQs with a unit norm TEQ (UNT) constraint are exactly symmetric. A symmetric TEQ halves FIR implementation complexity, enables the frequency-domain equalizer and TEQ to be trained in parallel, and exhibits only a small loss in bit rate over nonsymmetric TEQs. In addition, a symmetric MSSNR-UNT TEQ reduces training computational complexity by a factor of 4 and doubles the length of the TEQ that can be designed.
  • Keywords
    FIR filters; computational complexity; eigenvalues and eigenfunctions; equalisers; interference suppression; intersymbol interference; least mean squares methods; telecommunication channels; transient response; FIR filter; ISI; MMSE; channel impulse response; channel shortening equalizers; computational complexity; eigenvectors; finite length TEQ; frequency-domain equalizer; infinite length TEQ; intercarrier interference reduction; intersymbol interference reduction; maximum shortening SNR; time-domain equalization; unit norm TEQ; Computational complexity; Convolution; Delay; Digital video broadcasting; Equalizers; Finite impulse response filter; Intersymbol interference; OFDM modulation; Time domain analysis; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7663-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2003.1199877
  • Filename
    1199877