[go: up one dir, main page]

Cao et al., 2024 - Google Patents

Error compensation method for pedestrian navigation system based on low-cost inertial sensor array

Cao et al., 2024

View PDF
Document ID
12217625104199158280
Author
Cao L
Luo X
Liu L
Wang G
Zhou J
Publication year
Publication venue
Sensors

External Links

Snippet

In the pedestrian navigation system, researchers have reduced measurement errors and improved system navigation performance by fusing measurements from multiple low-cost inertial measurement unit (IMU) arrays. Unfortunately, the current data fusion methods for …
Continue reading at www.mdpi.com (PDF) (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
    • 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
    • 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
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20—Instruments for performing navigational calculations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO 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
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/53—Determining attitude
    • 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
    • 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
    • G01S—RADIO 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
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT

Similar Documents

Publication Publication Date Title
Ladetto et al. Digital magnetic compass and gyroscope integration for pedestrian navigation
Hyyti et al. A DCM Based Attitude Estimation Algorithm for Low‐Cost MEMS IMUs
Li et al. Gradient descent optimization-based self-alignment method for stationary SINS
Hoang et al. Yaw/Heading optimization by drift elimination on MEMS gyroscope
Driessen et al. Experimentally validated extended kalman filter for uav state estimation using low-cost sensors
Ji et al. An adaptive heading correction algorithm for suppressing magnetic interference in inertial navigation system
Wu et al. Simultaneous hand–eye/robot–world/camera–IMU calibration
Tao et al. Precise displacement estimation from time-differenced carrier phase to improve PDR performance
Bojja et al. Compact north finding system
CN110672095A (en) Pedestrian indoor autonomous positioning algorithm based on micro inertial navigation
Mahmoud et al. Integrated INS/GPS navigation system
Zhang et al. Mag-ODO: Motion speed estimation for indoor robots based on dual magnetometers
Cao et al. Error compensation method for pedestrian navigation system based on low-cost inertial sensor array
CN115060275A (en) A method for selecting optimal navigation information for multiple inertial navigation devices
Emel’yantsev et al. Calibration of a precision SINS IMU and construction of IMU-bound orthogonal frame
Yang et al. Research on improving accuracy of MWD based on support vector classifier and K-proximity method
Abdel-Hafez On the development of an inertial navigation error-budget system
Filatov et al. Studying the static errors of MEMS accelerometer triad in quasiharmonic oscillation mode
Ali et al. An improved personal dead-reckoning algorithm for dynamically changing smartphone user modes
Wang et al. Compounded calibration based on FNN and attitude estimation method using intelligent filtering for low cost MEMS sensor application
Yu et al. SINS/CNS nonlinear integrated navigation algorithm for hypersonic vehicle
Lajimi et al. A comprehensive filter to reduce drift from Euler angles, velocity, and position using an IMU
Tomaszewski et al. Analysis of the noise parameters and attitude alignment accuracy of INS conducted with the use of MEMS-based integrated navigation system
Engelsman et al. Towards learning-based gyrocompassing
Xuan Application of real-time Kalman filter with magnetic calibration for MEMS sensor in attitude estimation