Abstract
Kalman filtering is used to restrain the influence of environmental disturbance to the initial alignment precision. Meanwhile, rotating modulation is utilized to reduce the influence of peg-top excursion and accelerometer zero deflection. The theoretical analysis and test data demonstrate that the proposed algorithm can improve the alignment precision by the combination of the two methods.
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