• DocumentCode
    2821552
  • Title

    Integrated Navigation System Based on Correlation between Gravity Gradient and Terrain

  • Author

    Liu, Fanming ; Qian, Dong ; Liu, Fengming ; Li, Yan

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    289
  • Lastpage
    293
  • Abstract
    The passive gravity aided inertial navigation system has been proven to improve submarine´s navigation accuracy by matching the measured gravity field data to the pre-surveyed reference map. However, it has a lack of such prepared reference maps at present. In this paper, an integrated navigation system based on the correlation between gravity gradient and terrain fluctuation is proposed, and the system can avoid any use of gravity maps. According to the correlation between gravity gradient and terrain, the calculating value of gravity gradient abnormal at the estimated position of the submarine can be obtained by high-precision digital elevation model, and the measurement value can also get from gradiometer. By using the difference of them, the system optimal filter generates real-time adjustment to the navigational errors. This method avoids the shortage of gravity field data presently. In addition, the system guarantees the safety of submarine at the same time because there is no transmission of signals outward from the vehicle during measurements of the gravity gradient.
  • Keywords
    correlation methods; digital elevation models; gradient methods; gravimeters; gravity; navigation; terrain mapping; underwater vehicles; gradiometer; gravity gradient; high-precision digital elevation model; integrated navigation system; submarine safety; terrain fluctuation; Digital elevation models; Filters; Fluctuations; Gravity; Inertial navigation; Position measurement; Real time systems; Time measurement; Underwater vehicles; Vehicle safety; INS; gravity gradient; kalman;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.98
  • Filename
    5193953