• DocumentCode
    2535290
  • Title

    Key technologies of Geomagnetic Aided Inertial Navigation System

  • Author

    Ma, Xiaojiao ; Liu, Hongwei ; Xiao, Di ; Li, Hankui

  • Author_Institution
    Res. Institue of Highway, MOC, Beijing, China
  • fYear
    2009
  • fDate
    3-5 June 2009
  • Firstpage
    464
  • Lastpage
    469
  • Abstract
    The paper introduces the basic principle, composition and technologic application of geomagnetic aided inertial navigation system (GAINS). Two frameworks of GAINS are commonly used, one of which is based on matching algorithm and the other is based on stochastic linear technology. Although they work on some different principles, there are many commonalities, such as data grid interpolation generating geomagnetic map, selection process of matching area and instrument performance which are provided and analyzed. In brief, this paper discusses several key techniques of navigation system, which include geomagnetic digital maps, algorithms in matching and searching, stochastic linearization technology, integrated navigation and digital correlation equipment, vector degaussing regulators, magnetometer, then some appropriate resolving schemes are described and analyzed. The application and future of system are forecasted at last.
  • Keywords
    aerospace computing; geomagnetism; inertial navigation; stochastic processes; GAINS; geomagnetic aided inertial navigation system; matching algorithm; stochastic linear technology; Geomagnetism; Inertial navigation; Instruments; Interpolation; Magnetic analysis; Mesh generation; Paper technology; Performance analysis; Stochastic processes; Stochastic systems; geomagnetic aided inertial navigation; integrated navigation; matching algorithm; stochastic linearization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2009 IEEE
  • Conference_Location
    Xi´an
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-3503-6
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2009.5164322
  • Filename
    5164322