• DocumentCode
    2209225
  • Title

    An integrated reduced inertial sensor system — RISS / GPS for land vehicle

  • Author

    Iqbal, Umar ; Okou, Aime Francis ; Noureldin, Aboelmagd

  • fYear
    2008
  • fDate
    5-8 May 2008
  • Firstpage
    1014
  • Lastpage
    1021
  • Abstract
    This paper demonstrates a low cost navigation solution that can efficiently work, in real-time, in denied GPS environment. It explores a reduced inertial sensor system (RISS) involving single-axis gyroscope and two-axis accelerometers together with a speed sensor to provide full navigation solution in denied GPS environments. With the assumption that the vehicle mostly stay in the horizontal plane, the vehicle speed obtained from the speed sensor are used together with the heading information obtained from the gyroscope to determine the velocities along the East and North directions. Consequently, the vehiclespsila longitude and latitude are determined. The position and velocity errors are estimated by Kalman filter (KF) relying on RISS dynamic error model and GPS position and velocity updates. The two accelerometers pointing towards the forward and transverse directions are used together with a reliable gravity model to determine the pitch and roll angles. This paper analyzes and discusses the merits and limitations of the proposed RISS system and its integration with GPS. The performance of the proposed method is examined by conducting road test experiment in a land vehicle.
  • Keywords
    Global Positioning System; accelerometers; gyroscopes; inertial navigation; road vehicles; GPS position; Global Positioning System; Kalman filter; RISS dynamic error model; RISS/GPS; denied GPS environment; gravity model; heading information; integrated reduced inertial sensor system; land vehicle; pitch angle; roll angle; single-axis gyroscope; speed sensor; two-axis accelerometers; vehicle speed; velocity updates; Accelerometers; Costs; Error correction; Global Positioning System; Gravity; Gyroscopes; Land vehicles; Navigation; Sensor systems; Vehicle dynamics; GPS; Kalman Filter; Land Vehicle navigation; Reduced Inertial; Sensor System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Position, Location and Navigation Symposium, 2008 IEEE/ION
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    978-1-4244-1536-6
  • Electronic_ISBN
    978-1-4244-1537-3
  • Type

    conf

  • DOI
    10.1109/PLANS.2008.4570075
  • Filename
    4570075