• DocumentCode
    64657
  • Title

    Estimation of Overspread Scattering Functions

  • Author

    Pfander, Gotz E. ; Zheltov, Pavel

  • Author_Institution
    Sch. of Eng. & Sci., Jacobs Univ., Bremen, Germany
  • Volume
    63
  • Issue
    10
  • fYear
    2015
  • fDate
    15-May-15
  • Firstpage
    2451
  • Lastpage
    2463
  • Abstract
    In many radar scenarios, the radar target or the medium is assumed to possess randomly varying parts. The properties of the target are described by a random process known as the spreading function. Its second order statistics under the WSSUS assumption are given by the scattering function. Recent developments in operator sampling theory suggest novel channel sounding procedures that allow for the determination of the spreading function given complete statistical knowledge of the operator echo from a single sounding by a weighted pulse train. We construct and analyze a novel estimator for the scattering function based on these findings. Our results apply whenever the scattering function is supported on a compact subset of the time-frequency plane. We do not make any restrictions either on the geometry of this support set, or on its area. Our estimator can be seen as a generalization of the averaged periodogram estimator for the case of a non-rectangular geometry of the support set of the scattering function.
  • Keywords
    electromagnetic wave scattering; radar target recognition; WSSUS assumption; channel sounding procedures; overspread scattering function estimation; periodogram estimator; radar scenarios; radar target; random process; scattering function; second order statistics; spreading function; statistical knowledge; time-frequency plane; weighted pulse train; Channel estimation; Estimation; Geometry; Radar; Scattering; Stochastic processes; Time-frequency analysis; Fiducial vectors; finite dimensional Gabor systems; sampling of operators; scattering function; spreading function;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2015.2403309
  • Filename
    7041229