• DocumentCode
    2228751
  • Title

    Analysis of accurate signal propagation model for through-wall imaging radar using compressive sensing

  • Author

    Peng-yu Wang ; Tian Jin ; Qian Song

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2013
  • fDate
    5-8 Aug. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In most applications of through-wall imaging (TWI) radar, target positioning has attracted more attentions than electromagnetic (EM) wave propagation. And the special application also provides a possibility for applying the bran-new theory, known as compressive sensing (CS), to TWI. However, due to the high sensitivity of CS in model error, the approximate propagation model which is widely used by conventional imaging algorithms will hardly satisfy the requirement of CS for robust reconstruction any longer, especially in the noisy environments. Except for target positioning error, the model error also results in the deterioration of image quality, such as integral sidelobe ratio. In this paper, the approach for calculating the accurate propagation model is presented. And with numerical simulations, the effects of model error on both conventional algorithms and CS are demonstrated.
  • Keywords
    compressed sensing; electromagnetic wave propagation; image reconstruction; radar imaging; CS; EM wave propagation; TWI radar; bran-new theory; compressive sensing; electromagnetic wave propagation; image quality deterioration; integral sidelobe ratio; model error; robust reconstruction; signal propagation model; target positioning error; through-wall imaging radar; Approximation algorithms; Approximation methods; Image reconstruction; Imaging; Numerical models; Propagation; Radar imaging; Compressive sensing (CS); accurate signal propagation model; synthetic aperture radar (SAR); through-wall imaging (TWI);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
  • Conference_Location
    KunMing
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2013.6663981
  • Filename
    6663981