• DocumentCode
    1610461
  • Title

    Enhanced DOA visibility of correlated sources for multistatic shipborne surface wave radar

  • Author

    Li, Bo ; Xu, Bin ; Yuan, Yeshu

  • Author_Institution
    Res. Inst. of Electron. Eng., Harbin Inst. of Technol., Harbin
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A modified array interpolation approach to correlated source localization is presented for the surface wave radar (SWR) that employs multiple uniform linear subarrays (ULSAs) mounted on different ships to compose a multistatic shipborne SWR receiving array. This approach that overcomes the main shortcomings of some existing interpolation techniques, comprises three stages: a first stage for preestimating direction-of-arrivals (DOAs) on an assumption that at least a single ULSA is available for correlated source localization, a second stage for specifying a union of nonoverlapping narrow subsectors as the interpolated sector to cover only the preestimates, and a third stage for reestimating DOAs with the virtual uniform linear array (VULA), in which we skip noise prewhitening and appropriately increase the amount of forward/backward spatial smoothing (FBSS) that plays a major role in lowering noise floor while decorrelating correlated sources. Monte Carlo simulations demonstrate the validity of our proposal.
  • Keywords
    Monte Carlo methods; array signal processing; correlation methods; direction-of-arrival estimation; interpolation; marine radar; radar signal processing; smoothing methods; Monte Carlo simulation; SWR receiving array; VULA; array interpolation approach; backward spatial smoothing; correlated source localization; direction-of-arrival preestimation; enhanced DOA visibility; forward spatial smoothing; multiple uniform linear subarrays; multistatic shipborne surface wave radar; virtual uniform linear array; Azimuth; Clutter; Direction of arrival estimation; Interference; Interpolation; Marine vehicles; Radar scattering; Smoothing methods; Surface waves; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2009 IEEE
  • Conference_Location
    Pasadena, CA
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-2870-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2009.4977102
  • Filename
    4977102