We present an attitude estimation method for self-guided ballistic munitions from onboard magnetometers. An adaptive feedback filter is used to remove actuator-induced magnetic disturbances whose spectrum overlaps the signal of interest. A state-augmented extended Kalman filter (EKF) is used to estimate roll rate and sensor bias from the filtered data. Experimental results demonstrate that this method is able to accurately estimate the roll without phase delay inherent in other methods.
Ballistic Roll Estimation using EKF Frequency Tracking and Adaptive Noise Cancellation
IEEE Transactions on Aerospace and Electronic Systems ; 49 , 4 ; 2546-2553
2013-10-01
2405761 byte
Article (Journal)
Electronic Resource
English
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