• DocumentCode
    2087332
  • Title

    Adaptive time reversal beamforming in dense multipath communication networks

  • Author

    Jin, Yuanwei ; Moura, José M F ; O´Donoughue, Nicholas

  • Author_Institution
    Dept. of Eng. & Aviation Sci., Univ. of Maryland Eastern Shore, Princess Anne, MD
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    2027
  • Lastpage
    2031
  • Abstract
    In this paper, we study the transmit time reversal beamforming in rich scattering environments in a multi-user wideband communication network. We consider the downlink time reversal transmission where a base station communicates with many users. The base station has multiple antennas and the user has a single antenna. Due to the presence of scatterers, conventional transmit beamforming suffers from crosstalk caused by nearby users. We design a wideband beamformer that focuses on the intended user while minimizing its interference to other users subject to the constraint of the sum rate capacity. We also show that the proposed beamformer is equivalent to time reversal focusing and nulling and yields higher sum data rate than the conventional delay line wideband beamformer. We verify our results using realistic scattering channels simulated by finite-difference time-domain modeling of the scattering environment.
  • Keywords
    adaptive signal processing; antenna arrays; array signal processing; broadcast channels; multipath channels; wireless channels; adaptive time reversal beamforming; dense multipath communication networks; finite-difference time-domain modeling; multiple antennas; multiuser wideband communication; scattering environments; single antenna; sum rate capacity; Array signal processing; Base stations; Communication networks; Crosstalk; Delay lines; Downlink; Finite difference methods; Interference constraints; Scattering; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2008 42nd Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2940-0
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2008.5074788
  • Filename
    5074788