• DocumentCode
    3155961
  • Title

    Radar target modeling and 2D ISAR imaging at 76GHz for ITS application

  • Author

    Dhar, S. ; Poddar, A. ; Karmakar, P. ; Paul, T. ; Kandar, D. ; Bera, R.

  • Author_Institution
    Electron. & Commun. Eng., Sikkim Manipal Inst. of Technol., Majitar, India
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Principal objective of this paper is to form the ISAR image of a complex target using 76GHz long range radar (LRR). Modeling of point target is done and the idea is extended to model a complex target (vehicle). Simulation is performed in MATLAB platform. The sample points are generated using Graphical User Interface (GUI) of MATLAB. These sample points are processed using Nearest Neighbor Approximation interpolation technique. This ISAR imaging can be used for object classification and will be applicable to intelligent transportation systems (ITS) for adaptive cruise control (ACC) and hence to avoid collision.
  • Keywords
    adaptive control; approximation theory; automated highways; graphical user interfaces; image classification; interpolation; learning (artificial intelligence); mathematics computing; millimetre wave imaging; millimetre wave radar; radar imaging; synthetic aperture radar; 2D ISAR imaging; ACC; GUI; ITS; ITS application; MATLAB platform; adaptive cruise control; collision avoidance; complex target Modeling; frequency 76 GHz; graphical user interface; intelligent transportation system; long range radar; nearest neighbor approximation interpolation technique; object classification; point target modeling; radar target modeling; Radar antennas; Radar imaging; Scattering; Spread spectrum radar; Vehicles; ISAR (Inverse Synthetic Aperture Radar); Intelligent Transport Systems (ITS); adaptive cruise control (ACC); long range radar (LRR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2011 Annual IEEE
  • Conference_Location
    Hyderabad
  • Print_ISBN
    978-1-4577-1110-7
  • Type

    conf

  • DOI
    10.1109/INDCON.2011.6139459
  • Filename
    6139459