• DocumentCode
    962523
  • Title

    Joint Transceiver Design for MIMO Channel Shortening

  • Author

    Toker, Cenk ; Lambotharan, Sangarapillai ; Chambers, Jonathon A.

  • Author_Institution
    Hacettepe Univ., Ankara
  • Volume
    55
  • Issue
    7
  • fYear
    2007
  • fDate
    7/1/2007 12:00:00 AM
  • Firstpage
    3851
  • Lastpage
    3866
  • Abstract
    Channel shortening equalizers can be employed to shorten the effective impulse response of a long intersymbol interference (ISI) channel in order, for example, to decrease the computational complexity of a maximum-likelihood sequence estimator (MLSE) or to increase the throughput efficiency of an orthogonal frequency-division multiplexing (OFDM) transmission scheme. In this paper, the issue of joint transmitter-receiver filter design is addressed for shortening multiple-input multiple-output (MIMO) ISI channels. A frequency-domain approach is adopted for the transceiver design which is effectively equivalent to an infinite-length time-domain design. A practical space-frequency waterfilling algorithm is also provided. It is demonstrated that the channel shortening equalizer designed according to the time-domain approach suffers from an error-floor effect. However, the proposed techniques are shown to overcome this problem and outperform the time-domain channel shortening filter design. We also demonstrate that the proposed transceiver design can be considered as a MIMO broadband beamformer with constraints on the time-domain multipath length. Hence, a significant diversity gain could also be achieved by choosing strong eigenmodes of the MIMO channel. It is also found that the proposed frequency-domain methods have considerably low computational complexity as compared with their time-domain counterparts.
  • Keywords
    MIMO communication; computational complexity; transceivers; MIMO channel shortening; computational complexity; eigenmodes; error floor effect; frequency domain approach; infinite length time domain design; joint transceiver design; space frequency waterfilling algorithm; Computational complexity; Equalizers; Filters; Frequency estimation; Intersymbol interference; MIMO; Maximum likelihood estimation; Throughput; Time domain analysis; Transceivers; Broadband beamformer; channel shortening; equalization; joint transmitter–receiver design; multiple-input multiple-output (MIMO); waterfilling;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2007.894231
  • Filename
    4244745