• DocumentCode
    2556385
  • Title

    On radar polarization mixed target state decomposition techniques

  • Author

    Holm, William A. ; Barnes, Richard M.

  • Author_Institution
    Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    1988
  • fDate
    20-21 Apr 1988
  • Firstpage
    249
  • Lastpage
    254
  • Abstract
    The mathematical representations of mixed target states using Mueller, covariance, and density matrices are discussed, and the relationship between these matrices is shown. A decomposition technique due to J.R. Huynen (1970) is considered, and a simple algorithm for calculating it is demonstrated. It was shown that, in addition to the Huynen decomposition, exactly two other decompositions exist whose mixed-target-state components possess the same roll-invariant property as the distributed N-target mixed-target-state component in the Huynen decomposition. The mixed-target-state components of all three of these Huynen-type decompositions were shown to correspond to targets with circular polarization nulls. The characteristic decomposition was then discussed and applied to a simple example which demonstrated that its pure-state component provides the average target representation. It is noted that this decomposition may have applications to stationary target identification
  • Keywords
    electromagnetic wave polarisation; matrix algebra; radar theory; Mueller; circular polarization nulls; covariance; density matrices; radar polarization mixed target state decomposition techniques; roll-invariant property; stationary target identification; Character generation; Covariance matrix; Electromagnetic scattering; Electromagnetic wave polarization; Frequency; Laboratories; Matrix decomposition; Radar clutter; Radar scattering; Reflection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 1988., Proceedings of the 1988 IEEE National
  • Conference_Location
    Ann Arbor, MI
  • Type

    conf

  • DOI
    10.1109/NRC.1988.10967
  • Filename
    10967