• DocumentCode
    2401509
  • Title

    Reduced dimension equalizer and interference canceller for MIMO-OFDM

  • Author

    Lau, Chad C. ; Zoltowski, Michael D.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
  • fYear
    2008
  • fDate
    16-19 Nov. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, an interference cancellation and equalization method is proposed for a multiple-input, multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) system. Standard equalization techniques such as zero-forcing (ZF), and adaptive array processing techniques such as per-tone or time-domain equalization, may require large amounts of training and memory for storage of the weight coefficients. In a MIMO-OFDM system with N carriers, ZF considerations help dictate required equalizer lengths, which are characterized by the solution space associated with an underdetermined system of linear equations. In the practical case where the cyclic prefix length, and hence the channel length, is a fraction of the OFDM frame duration, it is shown that the respective equalizers to all tones (across antennas) are characterized by the basis of a data-independent, low-dimensional subspace. A structured per-tone technique is proposed that utilizes the extra degrees of freedom afforded by having multiple antennas at the receiver in order to cancel interfering signals.
  • Keywords
    MIMO communication; OFDM modulation; antenna arrays; interference suppression; MIMO-OFDM; interference cancellation; interference canceller; multiple antennas; multiple-input multiple-output system; orthogonal frequency division multiplexing system; reduced dimension equalizer; structured per-tone technique; Adaptive equalizers; Channel estimation; Convolution; Interference cancellation; Maximum likelihood estimation; OFDM; Receiving antennas; Robustness; Time domain analysis; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 2008. MILCOM 2008. IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-2676-8
  • Electronic_ISBN
    978-1-4244-2677-5
  • Type

    conf

  • DOI
    10.1109/MILCOM.2008.4753545
  • Filename
    4753545