• DocumentCode
    1664525
  • Title

    Superresolution for scanning antenna

  • Author

    Dropkin, Herbert ; Ly, Canh

  • Author_Institution
    US Army Res. Lab., Adelphi, MD, USA
  • fYear
    1997
  • Firstpage
    306
  • Lastpage
    308
  • Abstract
    The MUSIC algorithm has been used widely in radar applications with spatially distributed sensor arrays. In those applications, the algorithm depends on the phase relations of the returned signal at different target pointing angles. Accordingly, many people believe that with a single narrow-beam antenna that is step-scanned in angle, the MUSIC algorithm cannot be used to superresolve target positions within the main beam, because there is no phase shift due to the scanning of the beam. This paper presents the application of the MUSIC algorithm to a scanning antenna that generates a nonuniform sensor vector. We call this application Scan MUSIC (SMUSIC). The simulation results with the SMUSIC algorithm for the spatial resolution of closely-spaced targets with a stepped-scan radar in the presence of Gaussian distributed noise are presented
  • Keywords
    Gaussian noise; array signal processing; radar antennas; radar detection; radar signal processing; scanning antennas; Gaussian distributed noise; SMUSIC algorithm; Scan MUSIC; closely-spaced targets; nonuniform sensor vector; radar applications; scanning antenna; simulation results; spatial resolution; spatially distributed sensor arrays; stepped-scan radar; superresolution algorithm; target positions; Additive noise; Aperture antennas; Background noise; Linear antenna arrays; Multiple signal classification; Phased arrays; Radar antennas; Sensor arrays; Signal resolution; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 1997., IEEE National
  • Conference_Location
    Syracuse, NY
  • Print_ISBN
    0-7803-3731-X
  • Type

    conf

  • DOI
    10.1109/NRC.1997.588326
  • Filename
    588326