• DocumentCode
    2048403
  • Title

    Sonar Images from Well-Known Simulated Raw Data

  • Author

    Tarlet, O. ; Loussert, A. ; Sintes, C.

  • Author_Institution
    Dept. Acoust., ISEN Brest, Brest, France
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    1423
  • Lastpage
    1426
  • Abstract
    Sonar is a technique used to observe the underwater scene over large distances. Active sonar is mainly used for imaging or for bathymetry. With modern sonar both uses are now possible. To form a high resolution three-dimensional image, an active side-scan sonar is used. To develop algorithms in order to obtain an image, we need experimental data. One of the difficulties in the analysis of sonar data is the lack of seabed in order to repeat an experiment exactly in the same environment. To overcome these problems, a sonar signal simulator can be used. In this paper, we describe processing sequences including a sonar signal simulator, micro navigation and Synthetic Aperture Sonar (SAS) algorithms. Many simulators use a perfect platform motion. Here, the platform path can be modified. Nevertheless, it is possible to have the accurate position of the platform for each sample, which is not possible with experimental data.
  • Keywords
    bathymetry; image sequences; sonar imaging; synthetic aperture radar; bathymetry; high resolution 3D image; micronavigation; processing sequences; side scan sonar; sonar images; sonar signal simulator; synthetic aperture sonar; underwater scene; well known simulated raw data; Acoustic scattering; Interferometry; Layout; Oceanographic techniques; Phased arrays; Sea floor; Signal processing; Signal processing algorithms; Sonar navigation; Synthetic aperture sonar; Interferometry; Scattering; Simulation; Synthetic aperture sonar; Underwater acoustics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1235-8
  • Electronic_ISBN
    978-1-4244-1236-5
  • Type

    conf

  • DOI
    10.1109/ICSPC.2007.4728596
  • Filename
    4728596