• DocumentCode
    748552
  • Title

    Subspace-based approach for DOA estimation using pilot symbol channel identification

  • Author

    Najjar-Atallah, L. ; Marcos, S.

  • Author_Institution
    Lab. SATIE, Ecole Normale Superieure de Cachan, France
  • Volume
    152
  • Issue
    1
  • fYear
    2005
  • Firstpage
    20
  • Lastpage
    28
  • Abstract
    In the paper, antenna processing is applied in the radio localisation frame. For a source of interest, the multipath directions of arrival (DOA) are estimated and the shortest/direct propagation path is identified. First, an unstructured estimate of the sampled channel impulse response is derived by use of pilot symbols. The channel response samples are then separately processed to recover the DOA of the relative paths. For stationary channels, it is suggested that smoothing be used in the case of a uniform and linear antenna array (ULA) to recover the source subspace. For fast fading channels, which is typically the case for high speed mobiles, it is shown that using a MUSIC like algorithm allows source subspace recovery by exploiting the gain diversity over a reduced number of slots with unchanged DOA and time delays. Separate processing of channel response samples reduces the constraint on antenna array size and allows comparison of the path lengths.
  • Keywords
    array signal processing; channel estimation; delays; direction-of-arrival estimation; fading channels; linear antenna arrays; mobile radio; radiowave propagation; DOA estimation; antenna processing; direct propagation path; fast fading channel; high speed mobile; multipath directions of arrival; pilot symbol channel identification; radio localisation frame; sampled channel impulse response estimation; shortest propagation path; stationary channel; subspace-based approach; time delay; uniform and linear antenna array;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:20050998
  • Filename
    1408921