• DocumentCode
    2228522
  • Title

    Geometry-aided subspace projection for mitigating range-dependence of the clutter spectrum in forward-looking airborne radar

  • Author

    Yang, Xiaopeng ; Liu, Yongxu ; Long, Teng

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6138
  • Lastpage
    6141
  • Abstract
    The clutter suppression of space-time adaptive processing (STAP) will degrade severely in forward-looking airborne radar if the range-dependence of clutter spectrum is not compensated correctly. In this paper, a new method for mitigating the range-dependence of the clutter spectrum based on the geometry-aided subspace projection is proposed. In the proposed method, the clutter covariance matrix of the range under test is firstly constructed based on the prior knowledge of antenna array configuration, and then the clutter subspace projection matrix is obtained by decomposing the corresponding covariance matrix. In the following, the mitigation of the range-dependence is accomplished by applying this clutter subspace projection matrix to transform the secondary range samples to obtain an approximate clutter subspace with the range under test. The simulation results show that the proposed method can mitigate the range-dependence significantly.
  • Keywords
    airborne radar; antenna arrays; covariance matrices; geophysical techniques; radar antennas; radar clutter; antenna array configuration; approximate clutter subspace; clutter covariance matrix; clutter spectrum; clutter subspace projection matrix; clutter suppression; forward-looking airborne radar; geometry-aided subspace projection; secondary range samples; space-time adaptive processing; Airborne radar; Antenna arrays; Arrays; Clutter; Covariance matrix; Radar antennas; Forward-looking airborne radar; Range dependence; Space-time adaptive processing (STAP); Subspace projection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352205
  • Filename
    6352205