• DocumentCode
    2228842
  • Title

    A priori knowledge-based Post-Doppler STAP for traffic monitoring applications

  • Author

    Baumgartner, Stefan V. ; Krieger, Gerhard

  • Author_Institution
    Microwaves & Radar Inst., German Aerosp. Center (DLR), Oberpfaffenhofen, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6087
  • Lastpage
    6090
  • Abstract
    In this paper an extension of our “Fast GMTI Algorithm for Traffic Monitoring Based on A Priori Knowledge” [1,2] to an arbitrary number of M receiving (RX) channels is presented. This is done by incorporating Post-Doppler space-time adaptive processing into the processing chain. In contrast to our original dual-channel algorithm this additionally allows for robust estimation of the direction-of-arrival (DOA) angles of the detected signals. As a consequence false detections can be recognized and discarded. In the paper the processing chain is explained and performance estimation results for DLR´s multi-channel airborne F-SAR system are presented and discussed.
  • Keywords
    Doppler radar; adaptive signal detection; airborne radar; direction-of-arrival estimation; monitoring; object recognition; road traffic; space-time adaptive processing; synthetic aperture radar; wireless channels; DLR multichannel airborne F-SAR system; GMTI algorithm; a priori knowledge; channel algorithm; direction-of-arrival angle estimation; false detection recognition; ground moving target indication; post Doppler STAP; receiving channel; signal detection; space time adaptive processing; synthetic aperture radar; traffic monitoring; Abstracts; Azimuth; Estimation; Indexes; Monitoring; Navigation; Ground moving target indication (GMTI); along-track interferometry (ATI); space-time adaptive processing (STAP); synthetic aperture radar (SAR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352218
  • Filename
    6352218