• DocumentCode
    829172
  • Title

    Computation of calibration parameters for multibeam echo sounders using the least squares method

  • Author

    Bjørke, Jan Terje

  • Author_Institution
    Norwegian Defence Res. Establ., Horten
  • Volume
    30
  • Issue
    4
  • fYear
    2005
  • Firstpage
    818
  • Lastpage
    831
  • Abstract
    A new method for field calibration of multibeam echo sounders is presented. The method applies least-squares adjustment computation of static offsets in parameters such as roll, pitch, heading and the horizontal shift of the transducer relative to the reference point of the positioning system. All the parameters are derived simultaneously. An investigation demonstrates the precision and the flexibility of the method. Flexibility is here related to the design of calibration lines, i.e., their number, their direction and length. The strength of the method is its ability to utilize all the depth measurements in an optimal way. The variance of the parameters can be derived directly from least-squares adjustment, but limited knowledge of the stochastic properties of the observations can lead to optimistic precision estimates. An alternative method to compute quality estimates is proposed and demonstrated
  • Keywords
    bathymetry; calibration; cartography; geophysical signal processing; least squares approximations; oceanographic techniques; seafloor phenomena; underwater sound; calibration parameters; depth measurements; field calibration; least-squares adjustment; multibeam echo sounders; seafloor modeling; stochastic properties; Acoustic sensors; Acoustic transducers; Calibration; Least squares methods; Position measurement; Protection; Sea floor; Sensor systems; Stochastic processes; Testing; Field calibration; least-squares adjustment; multibeam echo sounder; seafloor modeling;
  • fLanguage
    English
  • Journal_Title
    Oceanic Engineering, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0364-9059
  • Type

    jour

  • DOI
    10.1109/JOE.2005.862138
  • Filename
    1593826