In order to improve the accuracy of initial alignment which determines the accuracy of navigation, a Sage-Husa adaptive kalman filter algorithm is applied to SINS initial alignment of single-axis rotation system. The simulation result further shows that in the case of inaccurate statistical property of noise, the estimation accuracy of Sage-Husa adaptive kalman filter is better than the conventional kalman filter.
Rotation direction of single-axis rotation SINS is researched in this paper. The two aspects: one-way, positive and negative rotation and clockwise, counterclockwise rotation are deeply analyzed respectively, and experimental verification is also taken. The results show that: FOG-based single-axis SINS should rotate with the positive and negative rotation way. It has a significant meaning to the engineering application of this technology.
The uniaxial rotary SINS has quickly become the new focus of inertial system research for its low price and high navigation accuracy. A higher precision requires an accurate calibration for the system. In this paper, the output models of uniaxial rotary SINS are derived, and the FOG and accelerometer are calibrated using discrete calibrating method.
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