• DocumentCode
    1700595
  • Title

    Radar images of vehicles based on SAR/ISAR processing

  • Author

    Giret, R. ; Meric, Stephane ; Chassay G

  • Author_Institution
    LCST/URER, INSA Rennes, France
  • Volume
    4
  • fYear
    2001
  • Firstpage
    277
  • Abstract
    The purpose of this article is to propose extended functions for an existing HF sensor. The existing application is based on communication between the HF sensor (i.e. the radar) and a card located inside a vehicle. The detection and communication between the sensor and the card permit the expected payment transactions for, e.g., road tolls. In order to avoid fraud (a card identified as ´little car´ category in a big lorry for instance) and classify the vehicles, it could be interesting to compare information coming from the card and information from physical measurement (knowledge of the real size of the vehicle for instance). Furthermore, the number of passing vehicles is an important parameter for managing a motorway. We briefly bring up the SAR theory to explain how the velocity of a vehicle can be used to discriminate simple reflectors. We describe the system to which we apply the ISAR processing: geometric context and relative constraints. We discuss the different ways to adjust the SAR/ISAR processing to our problem as 2D basic processing. Some basic applications are described. We develop the problems due to the constraints of the radar system and ISAR processing.
  • Keywords
    object recognition; radar imaging; radar theory; road vehicles; synthetic aperture radar; HF sensor; ISAR processing; SAR processing; SAR theory; motorway management; vehicle classification; vehicle radar images; vehicle size measurement; Azimuth; Doppler radar; Geometry; Radar applications; Radar imaging; Radar scattering; Sensor phenomena and characterization; Signal resolution; Synthetic aperture radar; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2001. IEEE
  • Conference_Location
    Boston, MA, USA
  • Print_ISBN
    0-7803-7070-8
  • Type

    conf

  • DOI
    10.1109/APS.2001.959451
  • Filename
    959451