PublisherIEEE Press. Institute of Electrical and Electronics Engineers
Rights accessRestricted access - publisher's policy
This paper describes the design, analysis, and experimental results of an Attitude and Heading System based on a Dual Kalman Filtering technique. The presented scheme is suitable for implementation using low cost sensors. Attitude determination systems are essential for real time vehicle navigation, guidance and control applications. When low cost sensors are used, efficient and robust algorithms become necessary for an acceptable performance. For the proposed approach, a low cost Inertial Measurement Unit (IMU), formed by 3-axis gyroscope, 3-axis accelerometer, and 3-axis magnetometer, provides the input measurements. Experimental results with real data show that the proposed algorithm is able to maintain an accurate and drift-free attitude and heading estimation.
CitationMunguia, R.; Grau, A. An attitude and heading reference system (AHRS) based in a dual filter. A: IEEE International Conference on Emerging Technologies and Factory Automation. "16th IEEE International Conference on Emerging Techonologies and Factory Automation (EFTA'11) Proceedings". Toulouse: IEEE Press. Institute of Electrical and Electronics Engineers, 2011, p. 1-8.
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