A new algorithm is proposed that smoothly integrates non-linear estimation of the attitude quaternion using Davenport's q-method and estimation of non-attitude states through an extended Kalman filter. The new method is compared to a similar existing algorithm showing its similarities and differences. The validity of the proposed approach is confirmed through numerical simulations.
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