• DocumentCode
    2810832
  • Title

    Through-the-Wall Radar Imaging using compressive sensing along temporal frequency domain

  • Author

    Yoon, Yeo-Sun ; Amin, Moeness G.

  • Author_Institution
    R&D Div., Samsung Thales Co., Ltd., Yongin, South Korea
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    2806
  • Lastpage
    2809
  • Abstract
    There are increasing demands on Through-the-Wall Radar Imaging (TWRI) systems to deliver high resolution images in both range and cross range. This requires using wideband signals and large array apertures, respectively. Wideband signals are typically implemented by transmitting a series of the narrowband signals. As such, the TWRI system operation involves transmitting and receiving multiple step-frequencies at each antenna location in either a physical or a synthetic aperture radar. Compressive sensing (CS) is an effective approach for decreasing the number of samples and, subsequently, reducing the data acquisition and post-processing time. In this paper, we propose a TWRI scheme based on CS in which a sizable reduction in the number of samples along the frequency axis is achieved without significant degradation in the image. The proposed approach applies the well-known Fourier-like measurement matrix and generates radar images of almost the same desirable quality as the image employing all data samples.
  • Keywords
    data acquisition; frequency-domain analysis; image resolution; radar imaging; receiving antennas; synthetic aperture radar; transmitting antennas; Fourier-like measurement matrix; compressive sensing; data acquisition; image resolution; large array apertures; receiving antenna; synthetic aperture radar; temporal frequency domain; through-the-wall radar imaging; transmitting antenna; wideband signals; Aperture antennas; Frequency domain analysis; Image coding; Image resolution; Narrowband; Radar antennas; Radar imaging; Receiving antennas; Signal resolution; Wideband; Through-the-wall radar; compressive sensing; radar imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496199
  • Filename
    5496199