• DocumentCode
    542753
  • Title

    Eigenfilter design of MIMO equalizers for channel shortening

  • Author

    Tkacenko, Andre ; Vaidyanathan, P.P.

  • Author_Institution
    Dept. of Electrical Engineering, California Institute of Technology, Pasadena, 91125, USA
  • Volume
    3
  • fYear
    2002
  • fDate
    13-17 May 2002
  • Abstract
    The advent of discrete multitone modulation (DMT) systems in recent years has brought to light the importance of channel shortening equalizers. In this paper, we present a method for the design of one such equalizer for multiple-input multiple-output (MIMO) linear dispersive channels. This method is a generalization of one that was used for shortening of single-input single-output (SISO) channels. Experimental results presented show that our design method performs better than the minimum mean-squared error (MMSE) technique in terms of effective channel energy compaction. 1
  • Keywords
    Artificial intelligence; Digital signal processing; Equalizers; Noise; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
  • Conference_Location
    Orlando, FL, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2002.5745120
  • Filename
    5745120