• DocumentCode
    3691046
  • Title

    Super-resolution RFI localization with compressive sensing in synthetic aperture interferometric radiometers

  • Author

    Jun Li;Fei Hu;Feng He;Liang Wu;Xiaohui Peng;Yayun Cheng;Dong Zhu;Ke Chen

  • Author_Institution
    School of Electronic Information and Communication, National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan 430074, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    4734
  • Lastpage
    4737
  • Abstract
    An accurate geolocation of the radio frequency interference (RFI) sources is significant to effectively switch off illegal transmitters. In this study, utilizing the sparse property of RFI in the observed scene, a super-resolution RFI localization method based on compressive sensing is presented in synthetic aperture interferometric radiometer (SAIR). Numerical results show the presented method can achieve an super-resolution RFI localization even when there are some missing data due to correlator or receiver failure.
  • Keywords
    "Brightness temperature","Spatial resolution","Multiple signal classification","Compressed sensing","Signal resolution","Temperature measurement","Apertures"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326887
  • Filename
    7326887