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C++ Code of Fast Complementary Filter for Attitude Estimation Using Low-Cost MARG Sensors

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Fast Complementary Filter for Attitude Estimation Using Low-Cost MARG Sensors

This algorithm is proposed by Jin Wu, Zebo Zhou, Jingjun Chen, Hassen Fourati and Rui Li, which presents a novel fast approach for attitude estimation using gyroscope, accelerometer and magnetometer. Related Paper has been published as a regular paper on IEEE Sensors Jounral. Please download the PDF file at http://dx.doi.org/10.1109/JSEN.2016.2589660.

The source codes are written with C++ programming language and are complied by Microsoft Visual Studio 2013 Comunity.

Raw data file 'flat_motion2.txt' is included for algorithm's computation while the results are verified using MATLAB software with respect to gold reference angles acquired from an MicroStrain 3DM-GX3-25 Attitude and Heading Reference System (AHRS).

This code can only be adopted for personal use. If any commercial use is involved, please contact: [email protected] or [email protected] for further information.

Anyone who uses the codes for academic research should refer to the following citation: "J. Wu, Z. Zhou, J. Chen, H. Fourati and R. Li, Fast Complementary Filter for Attitude Estimation Using Low-Cost MARG Sensors, IEEE Sensors Journal, 2016".

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C++ Code of Fast Complementary Filter for Attitude Estimation Using Low-Cost MARG Sensors

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