• DocumentCode
    1487927
  • Title

    Improved autofocusing of stepped-frequency ISAR images using new form of particle swarm optimisation

  • Author

    Park, Sang Ho ; Kim, Hong Tak ; Kim, Kyung Tae

  • Author_Institution
    E.E.E., Pohang Univ. of Sci. & Technol., Pohang, South Korea
  • Volume
    45
  • Issue
    20
  • fYear
    2009
  • Firstpage
    1053
  • Lastpage
    1055
  • Abstract
    An autofocusing method is proposed to compensate for the inter-pulse phase errors in stepped-frequency ISAR imaging. A genetic algorithm, particle swarm optimisation (PSO), and a combination of PSOs (CPSO) model were applied and compared with the existing subarray averaging and entropy minimisation method. In simulations using measured data, CPSO gave the most accurate and stable results.
  • Keywords
    genetic algorithms; minimisation; particle swarm optimisation; radar imaging; synthetic aperture radar; autofocusing method; entropy minimisation method; genetic algorithm; interpulse phase errors; particle swarm optimisation; stepped-frequency ISAR images; subarray averaging;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2009.1484
  • Filename
    5270399
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1487927