Kalman Filter and Complementary Filter in Attitude Estimation of APM

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This paper presents the results of a quaternion based extend Kalman filter (EKF) and complementary filter for ArduPilotMega (APM) attitude estimation. In addition, a new method to get the measurement noise covariance matrix R is proposed. Experimental results show that the two algorithms can meet the requirements, but the complementary filter can yield better performance than EKF.

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794-797

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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