• DocumentCode
    673361
  • Title

    Identification of an object located on the ground using its natural poles using both FD and TD data

  • Author

    Woojin Lee ; Sarkar, Tapan K. ; Hongsik Moon ; Salazar-Palma, Magdalena

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
  • fYear
    2013
  • fDate
    7-13 July 2013
  • Firstpage
    23
  • Lastpage
    24
  • Abstract
    A methodology for identification of an object located on the ground using its natural resonant frequencies from both time and frequency domain data is presented. This methodology is then applied to generate a library of poles of various perfectly conducting objects (PEC) using the Cauchy method in the frequency domain and compare them with the computed natural poles of an unknown object on the ground using the typical transient temporal late time response using the Matrix Pencil (MP) method in the time domain. By comparing both of them, one can identify the unknown object on the ground. For identification of an object on the ground, one transmitter and two receivers are utilized and each of the antennas is considered to be a dipole antenna. Simulation example is analyzed to illustrate the potential of this proposed methodology.
  • Keywords
    dipole antennas; radar antennas; radar receivers; radar target recognition; radar transmitters; Cauchy method; FD data; TD data; TDOA technique; antennas; computed natural poles; dipole antenna; frequency domain data; matrix pencil method; natural poles; natural resonant frequencies; object identification; perfectly conducting objects; radar; receivers; time domain data; time-difference-of-arrival; transient temporal late time response; transmitter; Object recognition; Receiving antennas; Resonant frequency; Time factors; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4673-5315-1
  • Type

    conf

  • DOI
    10.1109/APS.2013.6710672
  • Filename
    6710672