• DocumentCode
    477348
  • Title

    Affine restoration decoding for MIMO-OFDM ultrawideband communications

  • Author

    Bashir, Sajid ; Malik, Wasim Q. ; Shah, Syed Ismail

  • Author_Institution
    Dept. of Comput. Eng., Centre for Adv. Studies in Eng., Islamabad
  • Volume
    1
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    41
  • Lastpage
    45
  • Abstract
    This paper discusses a near-optimal detection algorithm for 2times2 multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems operating on ultrawideband (UWB) channels. The reported affine restoration (AR) algorithm exploits the independence among the elements of the channel matrix and performs a parallel detection process at all receive antennas. For performance approaching that of maximum likelihood (ML) detection, but with lower complexity, the channel state information (CSI) at the receiver is utilized to restore the transmitted vector without channel matrix inversion or decomposition. We create a subset of the ML search space so as to reduce the computational complexity with minimal compromise on performance. We also discuss a modification in the proposed algorithm to further reduce the detection complexity. The proposed algorithm achieves near-optimal performance as demonstrated through simulations.
  • Keywords
    MIMO communication; OFDM modulation; computational complexity; matrix decomposition; receiving antennas; ultra wideband communication; MIMO-OFDM ultrawideband communications; ML search space; affine restoration algorithm; affine restoration decoding; affine transformation; channel matrix decomposition; channel matrix inversion; channel state information; computational complexity; detection complexity; lattice reduction; maximum likelihood detection; multiple-input multiple-output orthogonal frequency division multiplexing systems; near-optimal detection algorithm; parallel detection process; receive antennas; transmitted vector; ultrawideband channels; Channel state information; Detection algorithms; MIMO; Matrix decomposition; Maximum likelihood decoding; Maximum likelihood detection; OFDM; Receiving antennas; Ultra wideband communication; Ultra wideband technology; Affine transformation; lattice reduction; maximum likelihood (ML) detection; multiple input multiple output (MIMO) systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra-Wideband, 2008. ICUWB 2008. IEEE International Conference on
  • Conference_Location
    Hannover
  • Print_ISBN
    978-1-4244-2216-6
  • Electronic_ISBN
    978-1-4244-1827-5
  • Type

    conf

  • DOI
    10.1109/ICUWB.2008.4653281
  • Filename
    4653281