[go: up one dir, main page]

Gu et al., 2014 - Google Patents

A Kalman filter algorithm based on exact modeling for FOG GPS/SINS integration

Gu et al., 2014

Document ID
5197504721026294778
Author
Gu S
Liu J
Zeng Q
Lv P
Publication year
Publication venue
Optik

External Links

Snippet

The Kalman filter is widely applied in fiber optic gyro (FOG) inertial integrated navigation system. To solve the problem of hard acquirement of Kalman filter parameters, a novel algorithm for FOG GPS/SINS integration navigation based on exact modeling is proposed in …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/10Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration
    • G01C21/12Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
    • G01C21/165Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation combined with non-inertial navigation instruments
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/28Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
    • G01C21/30Map- or contour-matching
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements of navigation systems
    • G01C21/3626Details of the output of route guidance instructions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20Instruments for performing navigational calculations
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C25/00Manufacturing, calibrating, cleaning, or repairing instruments and devices referred to in the preceding groups
    • G01C25/005Manufacturing, calibrating, cleaning, or repairing instruments and devices referred to in the preceding groups initial alignment, calibration or starting-up of inertial devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C19/00Gyroscopes; Turn-sensitive devices using vibrating masses; Turn-sensitive devices without moving masses; Measuring angular rate using gyroscopic effects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C17/00Compasses; Devices for ascertaining true or magnetic north for navigation or surveying purposes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems

Similar Documents

Publication Publication Date Title
Heo et al. Consistent EKF-based visual-inertial odometry on matrix Lie group
Crocoll et al. Model‐aided navigation for a quadrotor helicopter: A novel navigation system and first experimental results
Won et al. Performance improvement of inertial navigation system by using magnetometer with vehicle dynamic constraints
Jafari et al. Skew redundant MEMS IMU calibration using a Kalman filter
Gu et al. A Kalman filter algorithm based on exact modeling for FOG GPS/SINS integration
Sokolović et al. INS/GPS navigation system based on MEMS technologies
Pan et al. Real-time accurate odometer velocity estimation aided by accelerometers
Sun et al. Strapdown gyrocompass algorithm for AUV attitude determination using a digital filter
Xu et al. A fast-initial alignment method with angular rate aiding based on robust Kalman filter
Khlopenko et al. Increasing the accuracy of the vessel's course orientation
Ben et al. System reset of strapdown INS for pipeline inspection gauge
Vyazmin et al. Two-dimensional Kalman filter approach to airborne vector gravimetry
RU2555496C1 (en) Device to detect angles of spatial orientation of movable object
Shan et al. Linear Kalman filter for attitude estimation from angular rate and a single vector measurement
Needham et al. Impact of gravity modeling error on integrated GNSS/INS coasting performance
Kamil et al. Low-cost object tracking with MEMS sensors, Kalman filtering and simplified two-filter-smoothing
Lv et al. Stochastic error simulation method of fiber optic gyros based on performance indicators
Wall A study of the effects of stochastic inertial sensor errors in dead-reckoning navigation
Bento Development and validation of an IMU/GPS/Galileo integration navigation system for UAV
Lemay et al. Precise input and output error characterization for loosely integrated ins/gps/camera navigation system
Sun et al. A novel EM-Log aided gyrocompass alignment for in-motion marine SINS
Nøkland Nonlinear observer design for GNSS and IMU integration
Dutta Statistical methods for reconstruction of entry, descent, and landing performance with application to vehicle design
Iqbal et al. Nonlinear modeling of azimuth error for 2D car navigation using parallel cascade identification augmented with Kalman filtering
Shen et al. Observability analysis of rotational MEMS-INS based cooperative navigation system