• DocumentCode
    1842120
  • Title

    Time-varying inverse filtering of range-compressed radar signals

  • Author

    Moll, Jochen ; Krozer, Viktor

  • Author_Institution
    Dept. of Phys., Goethe Univ. of Frankfurt, Frankfurt am Main, Germany
  • fYear
    2012
  • fDate
    12-14 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This document presents a novel deconvolution approach that is applied to range-compressed radar signals to enhance the range resolution of the backprojection images beyond the resolution limit given by the point-spread-function. Hence, this signal processing technique has certain super-resolution capabilities. The time-varying deconvolution scheme is based on a combination of the matching pursuit decomposition (MP-) algorithm and the inverse filter. In each iteration of the MP-algorithm the signal portion with the highest local signal energy is firstly reconstructed and then deconvolved by the inverse filter.
  • Keywords
    deconvolution; iterative methods; radar imaging; time-frequency analysis; time-varying filters; MP-algorithm; Rayleigh resolution; backprojection images; deconvolution approach; iteration; local signal energy; matching pursuit decomposition algorithm; point-spread-function; radar image; range-compressed radar signals; signal portion algorithm; signal processing technique; super-resolution capabilities; time-varying deconvolution scheme; time-varying inverse filtering; Deconvolution; Image reconstruction; Image resolution; Matching pursuit algorithms; Radar imaging; Signal resolution; Deconvolution; Filtering algorithms; Millimeter wave radar; Radar imaging; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference (GeMiC), 2012 The 7th German
  • Conference_Location
    Ilmenau
  • Print_ISBN
    978-1-4577-2096-3
  • Electronic_ISBN
    978-3-9812668-4-9
  • Type

    conf

  • Filename
    6185174