• DocumentCode
    3278826
  • Title

    Notice of Retraction
    Inertial Frame Coarse Alignment for Strapdown Inertial Navigation System

  • Author

    Ben Yueyang ; Guisheng Yin ; Wei Gao ; Feng Sun

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
  • Volume
    1
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    647
  • Lastpage
    651
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    The inertial frame coarse alignment is proposed to accomplish the coarse estimation of strapdown attitude matrix under the dynamic condition in which the disturbed acceleration and rotation velocity exist. This method utilizes the gravity integration on inertial frames to calculate strapdown attitude matrix, and the disturbed components could be counteracted during the integration process. The simulation results show that the proposed method is superior to the conventional one under the dynamic condition.
  • Keywords
    inertial navigation; transfer function matrices; inertial frame coarse alignment; strapdown attitude matrix; strapdown inertial navigation system; Acceleration; Application software; Computer science; Earth; Educational institutions; Gravity; Inertial navigation; Information technology; Vehicle dynamics; Vehicles; alignment; dynamic condition; inertial frame; strapdown attitude matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.463
  • Filename
    5231727