[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Cui et al., 2018 - Google Patents

Calibration of MEMS accelerometer using kaiser filter and the ellipsoid fitting method

Cui et al., 2018

Document ID
15013697154658506544
Author
Cui S
Cui L
Du Y
Chai S
Zhang B
Publication year
Publication venue
2018 37th Chinese Control Conference (CCC)

External Links

Snippet

MEMS accelerometer, the key component of the Inertial Navigation System (INS), has been widely applied in various electronic consumption fields such as mobile phones and unmanned vehicles. However, it suffers from the scale factor errors, constant biases, and …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/10—Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration
    • G01C21/12—Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16—Navigation; 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
    • G01C21/165—Navigation; 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C19/00—Gyroscopes; Turn-sensitive devices using vibrating masses; Turn-sensitive devices without moving masses; Measuring angular rate using gyroscopic effects
    • G01C19/02—Rotary gyroscopes
    • G01C19/34—Rotary gyroscopes for indicating a direction in the horizontal plane, e.g. directional gyroscopes
    • G01C19/38—Rotary gyroscopes for indicating a direction in the horizontal plane, e.g. directional gyroscopes with north-seeking action by other than magnetic means, e.g. gyrocompasses using earth's rotation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C25/00—Manufacturing, calibrating, cleaning, or repairing instruments and devices referred to in the preceding groups
    • G01C25/005—Manufacturing, calibrating, cleaning, or repairing instruments and devices referred to in the preceding groups initial alignment, calibration or starting-up of inertial devices
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C17/00—Compasses; Devices for ascertaining true or magnetic north for navigation or surveying purposes
    • G01C17/38—Testing, calibrating, or compensating of compasses
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C19/00—Gyroscopes; Turn-sensitive devices using vibrating masses; Turn-sensitive devices without moving masses; Measuring angular rate using gyroscopic effects
    • G01C19/56—Turn-sensitive devices using vibrating masses, e.g. vibratory angular rate sensors based on Coriolis forces
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C17/00—Compasses; Devices for ascertaining true or magnetic north for navigation or surveying purposes
    • G01C17/02—Magnetic compasses
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20—Instruments for performing navigational calculations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/28—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P15/00—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
    • G01P15/18—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration in two or more dimensions

Similar Documents

Publication Publication Date Title
CN106885566B (en) A wearable motion sensor and its anti-magnetic field interference method
CN108731676B (en) An attitude fusion enhanced measurement method and system based on inertial navigation technology
Wang et al. Improving the navigation performance of the MEMS IMU array by precise calibration
Cui et al. Calibration of MEMS accelerometer using kaiser filter and the ellipsoid fitting method
CN106123900B (en) Indoor pedestrian navigation magnetic heading calculation method based on modified complementary filter
CN108318038A (en) A kind of quaternary number Gaussian particle filtering pose of mobile robot calculation method
CN107063262A (en) A kind of complementary filter method resolved for UAV Attitude
CN108458714A (en) The Eulerian angles method for solving of acceleration of gravity is free of in a kind of attitude detection system
CN109073388B (en) Gyromagnetic geographic positioning system
Cho et al. A calibration technique for a two‐axis magnetic compass in telematics devices
CN107402007A (en) A kind of method for improving miniature AHRS modules precision and miniature AHRS modules
CN111121820A (en) MEMS inertial sensor array fusion method based on Kalman filtering
De Alteriis et al. Accurate attitude inizialization procedure based on MEMS IMU and magnetometer integration
Hoang et al. Measurement optimization for orientation tracking based on no motion no integration technique
CN105303201B (en) Method and system for handwriting recognition based on motion induction
Jin et al. Integrated navigation system for UAVs based on the sensor of polarization
CN105928544B (en) The Rapid self-calibration method and device of Micro Inertial Measurement Unit unit
CN111141283A (en) Method for judging advancing direction through geomagnetic data
CN117686000A (en) Six-position calibration method based on double-shaft turntable
CN115326062A (en) GNSS INS (Global navigation satellite System for inertial navigation System) integrated navigation method, device and medium based on bionic flapping-wing flying robot
Trojnacki et al. Determination of motion parameters with inertial measurement units–Part 1: mathematical formulation of the algorithm
CN107289935B (en) Indoor navigation algorithm suitable for wearable equipment
CN114234971B (en) Noise-reducing full-attitude IMU attitude calculation method
CN110501029A (en) Online calibration method for swarm aircraft equipped with MEMS gyroscope load
CN113503895B (en) Three-self inertial measurement unit accelerometer size estimation method based on Kalman filtering