• DocumentCode
    2435201
  • Title

    Application of adaptive joint time-frequency processing to ISAR image formation

  • Author

    Ling, Hao ; Li, Junfei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    476
  • Lastpage
    479
  • Abstract
    Two applications of the adaptive joint time-frequency (AJTF) algorithm for ISAR image formation are presented. First, AJTF is utilized for ISAR motion estimation and compensation. Focused images from measured radar data are presented to illustrate the effectiveness of the algorithm when applied to in-flight aircraft data. Second, the AJTF algorithm is extended to detect the presence of chaotic, three-dimensional motions in an articulating target. Preliminary test results on measured data show that the algorithm can correctly detect those imaging intervals where significant three-dimensional motions exist
  • Keywords
    adaptive signal detection; adaptive signal processing; chaos; motion compensation; motion estimation; radar detection; radar imaging; synthetic aperture radar; time-frequency analysis; AJTF algorithm; ISAR image formation; adaptive joint time-frequency processing; articulating target; chaotic motions; focused images; imaging intervals; in-flight aircraft data; motion compensation; motion estimation; three-dimensional motion detection; Airborne radar; Aircraft; Chaos; Focusing; Motion detection; Motion estimation; Radar detection; Radar imaging; Radar measurements; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
  • Conference_Location
    Pocono Manor, PA
  • Print_ISBN
    0-7803-5988-7
  • Type

    conf

  • DOI
    10.1109/SSAP.2000.870170
  • Filename
    870170