Transactions of Nanjing University of Aeronautics & Astronautics
Four-Position Initial Alignment Based on Forward and Reverse Filtering
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Abstract:
In order to achieve fast and high accuracy of strapdown initial alignment， a four-position initial alignment algorithm based on forward and reverse filtering is proposed. The proposed scheme divides the whole alignment process into three stages： Coarse alignment， backtracking alignment and fine alignment. In the first stage， coarse alignment is performed， and data are collected and stored. In the second stage， the unscented Kalman filter（KF） is used for backtracking alignment. In the third stage， the KF is used for fine alignment. Four-position data are sampled in the whole process. The proposed scheme is used for initial alignment， and high precision alignment is achieved on the basis of ensuring fast alignment. The simulation results show that the alignment scheme can quickly complete the initial alignment and achieve a high alignment accuracy， and the sky misalignment error is within 10″.
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The work was supported by the National Natural Science Foundation of China （Nos. 61533008， 61603181）. The authors would like to thank all the authors， editors and anonymous reviewers for their help and valuable comments.
Clc Number:
U666.1
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