• DocumentCode
    632054
  • Title

    Quality measures for HRR alignment based ISAR imaging algorithms

  • Author

    Janse van Rensburg, Vanessa ; Mishra, Anadi ; Nel, W.

  • Author_Institution
    Radar & Electron. Warfare Syst., Defence, Peace, Safety & Security, Council for Sci. & Ind. Res., Pretoria, Council for Sci. & Ind. Res., Pretoria, South Africa
  • fYear
    2013
  • fDate
    April 29 2013-May 3 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Some Inverse Synthetic Aperture Radar (ISAR) algorithms form the image in a two-step process of range alignment and phase conjugation. This paper discusses a comprehensive set of measures used to quantify the quality of range alignment, with the aim of 1) reviewing their benefits and shortcomings and 2) comparing their relative performance. Some quality measures may favour particular alignment techniques without adequately indicating improved alignment, so using multiple quality measures provide an added means of verifying the alignment quality achieved by any alignment technique. The sensitivity of the quality measures to slight misalignment of profiles and the effects of noise is also investigated.
  • Keywords
    radar imaging; radar interferometry; synthetic aperture radar; HRR alignment based ISAR imaging algorithms; alignment quality; inverse synthetic aperture radar algorithms; noise effects; phase conjugation; quality measures; range alignment; Correlation; Entropy; Motion compensation; Radar imaging; Sea measurements; Sensitivity; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RADAR), 2013 IEEE
  • Conference_Location
    Ottawa, ON
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4673-5792-0
  • Type

    conf

  • DOI
    10.1109/RADAR.2013.6586071
  • Filename
    6586071