• DocumentCode
    923640
  • Title

    Algorithms for estimating the complete group of polarization invariants of the scattering matrix (SM) based on measuring all SM elements

  • Author

    Karnychev, Vladimir ; Khlusov, Valery A. ; Ligthart, Leo P. ; Sharygin, German

  • Volume
    42
  • Issue
    3
  • fYear
    2004
  • fDate
    3/1/2004 12:00:00 AM
  • Firstpage
    529
  • Lastpage
    539
  • Abstract
    The procedure for estimating polarization invariants of the backscattering matrix in horizontal-vertical basis is considered for radar observation of arbitrary nonreciprocal objects. Two polarization invariants are added to the well-known six Huynen-Euler invariants. These new invariants (nonreciprocity angle and difference in absolute phases of the symmetric and antisymmetric parts of the scattering matrix) describe the nonreciprocal properties of the object itself. With the simultaneous measurement of all eight quadratures of the scattering matrix elements, the closed-form expressions for calculating the eight polarization invariants are given. The derived expressions are the starting point for complete estimation of the polarization properties of arbitrary radar objects with a nonsymmetric scattering matrix. The given approach can be used to study various polarization effects in remote radar sensing of artificial and natural objects, and also to simulate polarization measurement processes and estimation errors caused by the measurements of scattering matrix elements at different instants.
  • Keywords
    backscatter; remote sensing by radar; arbitrary nonreciprocal objects; arbitrary radar objects; artificial objects; backscattering matrix; estimation errors; horizontal-vertical basis; natural objects; nonsymmetric scattering matrix; polarization invariants estimation; polarization measurement simulation; radar observation; remote radar sensing; six Huynen-Euler invariants; Backscatter; Linear matrix inequalities; Matrix decomposition; Particle scattering; Polarization; Radar measurements; Radar polarimetry; Radar scattering; Samarium; Symmetric matrices;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2003.817807
  • Filename
    1273585