• DocumentCode
    51352
  • Title

    Multipath Exploitation and Suppression for SAR Imaging of Building Interiors: An overview of recent advances

  • Author

    Leigsnering, Michael ; Amin, Moeness G. ; Ahmad, Farhan ; Zoubir, Abdelhak M.

  • Volume
    31
  • Issue
    4
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    110
  • Lastpage
    119
  • Abstract
    Multipath that involves target scattering is an important phenomenon in synthetic aperture radar (SAR). It is highly pronounced in imaging of building interiors due to the presence of walls, ceilings, and floors surrounding the targets of interest. Multipath attributed to targets is a special type of clutter, which can be either suppressed or exploited. The latter has been the subject of many recent works in the area of SAR imaging and has led to tangible improvements in target detection and localization. In this article, we consider state-of-the-art multipath suppression and exploitation approaches, present their corresponding analytical models, and highlight their respective requirements, assumptions, and offerings. Both conventional and compressive sensing-based approaches are discussed, where the latter assumes the presence of a few behind-the-wall targets.
  • Keywords
    buildings (structures); compressed sensing; electromagnetic wave scattering; hidden Markov models; interference suppression; multipath channels; object detection; radar imaging; radar interference; synthetic aperture radar; SAR imaging; analytical models; behind-the-wall targets; building interiors; compressive sensing-based approaches; multipath exploitation; multipath suppression; synthetic aperture radar; target detection; target localization; target scattering; Buildings; Hidden Markov models; Radar imaging; Reflection; Scattering; Synthetic aperture radar; Target scattering;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2014.2312203
  • Filename
    6832777