• DocumentCode
    3107085
  • Title

    Fast wideband near-field imaging with URAs applied to urban sensing

  • Author

    Leigsnering, Michael ; Zoubir, Abdelhak M. ; Ghogho, Mounir

  • Author_Institution
    Signal Process. Group, Tech. Univ. Darmstadt, Darmstadt, Germany
  • fYear
    2011
  • fDate
    13-16 Dec. 2011
  • Firstpage
    73
  • Lastpage
    76
  • Abstract
    High resolution wideband near-field imaging requires wideband signals and large array apertures. Hence, a large amount of data needs to be processed in the image formation step. The computational load of the standard delay and sum beamformer stems from the calculation of the focus delays and the evaluation of the sums over the measurements. We propose an approach tackling the problem of calculating the focus delays. Provided a uniform rectangular array (URA) is used, the image can be evaluated on a well tailored discrete grid such that most focus delays are redundant. Now by calculating only the non-redundant values we can reduce the numerical complexity significantly. The above approach is combined with fast beamforming based on the non-equispaced fast Fourier transform (NFFT). We demonstrate the good performance with experimental results from a through-the-wall radar imaging system.
  • Keywords
    array signal processing; fast Fourier transforms; radar imaging; URA; fast wideband near field imaging; image formation; large array aperture; non equispaced fast Fourier transform; sum beamformer; through the wall radar imaging system; uniform rectangular array; urban sensing; Array signal processing; Arrays; Delay; Imaging; Radar imaging; Three dimensional displays; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011 4th IEEE International Workshop on
  • Conference_Location
    San Juan
  • Print_ISBN
    978-1-4577-2104-5
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2011.6136049
  • Filename
    6136049