Attitude Heading Reference System using Kalman Filter

版本 1.0.1 (832.2 KB) 作者: Farhan Ahamed
In this project, I have developed an AHRS with Linear Kalman Filter. A clear documentation on how I built it is given as a blog.
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更新 2022/8/14

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This project will help you understand on how to intuitively develop a sensor fusion algorithm using linear kalman filter that estimates Roll, Pitch and Yaw of the vehicle with accelerometer, gyroscope and magnetometer as sensor inputs. The sensor data is used from a smartphone using MATLAB Support Package for Android Sensors. Realtime sensor fusion is also possible using this algorithm.
Check out the complete documentation:

引用格式

Farhan Ahamed (2026). Attitude Heading Reference System using Kalman Filter (https://ww2.mathworks.cn/matlabcentral/fileexchange/116295-attitude-heading-reference-system-using-kalman-filter), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2021b
与 R2017b 及更高版本兼容
平台兼容性
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版本 已发布 发行说明
1.0.1

Updated documentation

1.0.0