• DocumentCode
    1691063
  • Title

    Estimation of object location from short pulse scatter data

  • Author

    Tsihrintzis, G.A. ; Devaney, A.J. ; Heyman, E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • Volume
    5
  • fYear
    1998
  • Firstpage
    2785
  • Abstract
    We present an efficient algorithm for computation of the maximum likelihood estimate of the location of a known target from short pulse scatter data. The algorithm constitutes a three step procedure: (i) data filtering, (ii) time-domain backpropagation, and (iii) coherent summation and consists of a number of projection and backprojection operations integrated in a tomographic scheme. A computer simulation is included for illustration purposes and relevant applications in radar target identification and buried object detection are discussed
  • Keywords
    Radon transforms; backpropagation; electromagnetic wave scattering; filtering theory; frequency-domain analysis; inverse problems; maximum likelihood estimation; object detection; radar detection; spectral analysis; time-domain analysis; tomography; backprojection operation; buried object detection; coherent summation; computer simulation; data filtering; direct Radon transform; efficient algorithm; inverse Radon transform; maximum likelihood estimate; object location; projection operation; radar target identification; short pulse scatter data; time-domain backpropagation; tomographic scheme; Application software; Backpropagation algorithms; Buried object detection; Computer simulation; Filtering algorithms; Maximum likelihood detection; Maximum likelihood estimation; Radar scattering; Time domain analysis; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-4428-6
  • Type

    conf

  • DOI
    10.1109/ICASSP.1998.678101
  • Filename
    678101