Abstract
To improve the anti-interference ability of initial alignment, mean algorithm and Kalman filter algorithm for initial alignment are compared, and a data-reuse method for combining these two algorithms is proposed. One group of sampling data is reused for coarse and fine alignment, prolonging the coarse alignment time and making off-line algorithms aviable for fine alignment. The method was applied in a strapdown system, and experimental results show that the method can effectively restain the passanger disturbance.
Original language | English |
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Pages (from-to) | 236-239 |
Number of pages | 4 |
Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
Volume | 27 |
Issue number | SUPPL. 1 |
Publication status | Published - May 2007 |
Keywords
- Anti-interference
- Initial alignment
- Kalman filter
- Strapdown system