• DocumentCode
    1896022
  • Title

    The RSMI algorithm for airborne MTI radar

  • Author

    Hermesmeyer, E. ; Bermudez, Jose C. M.

  • Author_Institution
    Fed. Univ. of Santa Catarina, Florianopolis
  • fYear
    2005
  • fDate
    17-20 July 2005
  • Firstpage
    930
  • Lastpage
    933
  • Abstract
    We introduce a new space-time adaptive processing (STAP) algorithm for clutter mitigation in airborne MTI radar systems. The algorithm, named RSMI, is order-recursive and allows data processing in the fast-time, an idle period for most algorithms (data acquisition period). We show that the RSMI optimum output converges in the mean-square sense to the SMI optimum output as the number of pulses increases from 1 to the SMI order, always with smaller computational cost. We also show that the whole CPI may not be required to obtain satisfactory performance. Thus, the new algorithm opens the possibility of real-time adaptation to further reduce complexity
  • Keywords
    airborne radar; computational complexity; data acquisition; matrix algebra; mean square error methods; radar clutter; radar signal processing; space-time adaptive processing; RSMI algorithm; STAP; airborne MTI radar; clutter mitigation; data acquisition period; data processing; mean-square sense; reduce complexity; space-time adaptive processing; Airborne radar; Cost function; Covariance matrix; Data acquisition; Data processing; Equations; Radar clutter; Sensor arrays; Spaceborne radar; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
  • Conference_Location
    Novosibirsk
  • Print_ISBN
    0-7803-9403-8
  • Type

    conf

  • DOI
    10.1109/SSP.2005.1628727
  • Filename
    1628727