Abstract
The statistical properties of the measurement noise of the missile-borne navigation system would vary under different actual working conditions. To address this issue, a fuzzy logic adaptive Kalman filtering based missile-borne GPS/INS integrated navigation algorithm is proposed in this paper. By monitoring the output parameter PDOP of the GPS receiver, the fuzzy logic adaptive controller is utilized to modify the measurement noise variance of the Kalman filter. Thus the Kalman filter can be adjusted to the optimal state, which eventually improves the accuracy of the integrated navigation system. The simulation results show that the proposed algorithm has strong adaptability to the time-varying measurement noise, and outperforms the conventional Kalman filter algorithm by providing more accurate solutions.
Original language | English |
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Pages (from-to) | 660-664 |
Number of pages | 5 |
Journal | Procedia Engineering |
Volume | 15 |
DOIs | |
Publication status | Published - 2011 |
Event | 2011 International Conference on Advanced in Control Engineering and Information Science, CEIS 2011 - Dali, Yunnam, China Duration: 18 Aug 2011 → 19 Aug 2011 |
Keywords
- Fuzzy adaptive algorithm
- Integrated navigation
- Kalman filtering
- Position dilution of precision (PDOP)