摘要
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.
源语言 | 英语 |
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页(从-至) | 236-239 |
页数 | 4 |
期刊 | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
卷 | 27 |
期 | SUPPL. 1 |
出版状态 | 已出版 - 5月 2007 |