• DocumentCode
    1678049
  • Title

    Joint domain localized processing using measured spatial steering vectors

  • Author

    Adve, Raviraj S. ; Wicks, Michael C.

  • Author_Institution
    Res. Assoc. for Defense Conversion Inc., Marcy, NY, USA
  • fYear
    1998
  • Firstpage
    165
  • Lastpage
    170
  • Abstract
    The joint domain localized (JDL) adaptive processing algorithm mitigates interference in a localized processing region in the angle-Doppler domain. Spatial and temporal steering vectors transform the data collected in the space-time domain to the angle-Doppler domain. However, the JDL algorithm depends on the assumption that the spatial and temporal steering vectors form an orthogonal set. In practice, due to the mutual coupling between antenna elements, the spatial steering vectors do not form an orthogonal set. This paper presents a modification of the JDL algorithm to account for the non-orthogonality of these steering vectors. Examples from the multichannel airborne radar measurement (MCARM) database demonstrate the improvement in detection capability
  • Keywords
    adaptive radar; adaptive signal detection; adaptive signal processing; airborne radar; array signal processing; interference suppression; radar detection; radar interference; radar signal processing; JDL algorithm; MCARM database; STAP; angle-Doppler domain; detection capability; interference; joint domain localized adaptive processing; multichannel airborne radar measurement; space-time adaptive processing; space-time domain; spatial steering vectors; temporal steering vectors; Antenna arrays; Covariance matrix; Discrete Fourier transforms; Frequency; Interference suppression; Mutual coupling; Phased arrays; Radar antennas; Radar detection; Sensor arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 1998. RADARCON 98. Proceedings of the 1998 IEEE
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    0-7803-4492-8
  • Type

    conf

  • DOI
    10.1109/NRC.1998.677995
  • Filename
    677995