Loosely coupled integration GPS/INS for a drone
Version 1.0.0 (11.5 KB) by
Alessio Tumminello
In this scripts I developed a sensor fusion algorithm using 2 EKF simulating GPS and IMU sensors
Here you will find a sensor fusion algorithm with extended kalman filter; the first EKF is used to estimate drone's attitude and gyroscope bias thanks to attitude measure obtained with Q-TRIAD algorithm, while the other EKF is used to estimate drone's positon, velocity and acceloremeter bias. GPS and IMU sensors are simlauted thanks to MATLAB's gpsSensor and imuSensor function, avaiable in the Navigation Toolbox.
Desidered trajectory is a circle around a fixed coordinate and during this path I supposed a sinusoidal attitude with different amplitude along yaw, pitch and roll; this trajectory is simulated with waypointTrajectory function, in the same toolbox.
To run the algorithm just run the main file.
Cite As
Alessio Tumminello (2024). Loosely coupled integration GPS/INS for a drone (https://www.mathworks.com/matlabcentral/fileexchange/123270-loosely-coupled-integration-gps-ins-for-a-drone), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2021b
Compatible with any release
Platform Compatibility
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sensor fusion
Version | Published | Release Notes | |
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1.0.0 |