• DocumentCode
    631176
  • Title

    Evaluation of beamforming and direction finding for a phased array HF ocean current radar

  • Author

    Wei Wang ; Gill, Eric W.

  • Author_Institution
    Memorial Univ. of Newfoundland, St. John´s, NL, Canada
  • Volume
    1
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    417
  • Lastpage
    422
  • Abstract
    This paper presents a simulation-based study of the effects of beamforming (BF) and direction finding (DF) algorithms on the errors in ocean surface radial currents measurements by High Frequency Surface Wave Radar (HFSWR). They are adopted usually for phased arrays and compact arrays, respectively. In this study, both BF and DF are investigated for phased arrays. Particularly, using MUltiple Signal Classification (MUSIC) for direction finding in phased arrays is a subject which has received little attention. Through simulations of the first order sea clutter under various current scenarios, the mean RMS errors between radar-derived and simulated reference current profiles are examined extensively. A combination of using Barlett beamforming before and after Doppler processing is introduced to effectively increase the number of current estimates. The MUSIC algorithm has shown promising performance in target detection and current measurements when BF is used to first establish the maximum current velocity.
  • Keywords
    Doppler radar; array signal processing; electric current measurement; oceanographic equipment; phased array radar; radar detection; radar signal processing; signal classification; Barlett beamforming; DF algorithms; Doppler processing; HFSWR; MUSIC; beamforming evaluation; direction finding; high frequency surface wave radar; mean RMS errors; multiple signal classification; ocean surface radial current measurements; phased array HF ocean current radar; radar-derived current profiles; simulated reference current profiles; target detection; Arrays; Current measurement; Multiple signal classification; Radar; Sea surface; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Symposium (IRS), 2013 14th International
  • Conference_Location
    Dresden
  • Print_ISBN
    978-1-4673-4821-8
  • Type

    conf

  • Filename
    6581123