Abstract
Kalman filter is not an optimal estimation method for the systems without any exact model. Therefore, a multiple fading factors matrix has been used as a multiplier for the covariance matrices in these systems. In this paper, a novel method, named adaptive multiple fading factor Kalman filter, is proposed for the systems without initial alignment of strap down inertial navigation systems. By applying this algorithm to different channels of Kalman filter, different coefficients of fading factors are computed. The simulation results show a noticeable increment in alignment's precision and alignment's speed, and a noticeable decrement in sensitivity to unknown noises.
Original language | English |
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Journal | Journal Systems Science & Control Engineering |
Volume | 3 |
Issue number | 1 |
Pages (from-to) | 351-359 |
Number of pages | 8 |
ISSN | 2164-2583 |
DOIs | |
Publication status | Published - Apr 2015 |
Keywords
- strap down,
- initial alignment
- inertial navigation systems
- multiple fading factor filter