Abstract
In order to improve the filter accuracy for the nonlinear error model of strapdown inertial navigation system (SINS) alignment, Unscented Kalman Filter (UKF) is presented for simulation with stationary base and moving base of SINS alignment. Simulation results show the superior performance of this approach when compared with classical suboptimal techniques such as extended Kalman filter in cases of large initial misalignment. The UKF has good performance in case of small initial misalignment.
| Original language | English |
|---|---|
| Pages (from-to) | 327-333 |
| Number of pages | 7 |
| Journal | Journal of Systems Engineering and Electronics |
| Volume | 18 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2007 |
Keywords
- Alignment
- Extended Kalman filter
- Strapdown inertial navigation
- Unscented Kalman filter
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Zhanxin, Z., Yanan, G., & Jiabin, C. (2007). Unscented Kalman filter for SINS alignment. Journal of Systems Engineering and Electronics, 18(2), 327-333. https://doi.org/10.1016/S1004-4132(07)60094-2