This study proposes a novel in-flight initial alignment scheme for the strapdown inertial navigation system (SINS) in the Arctic, aiming to solve the attitude divergence problem caused by the inherent SINS error characteristics. Considering the special geographical conditions in the Arctic, the authors establish the SINS mechanisation equations and radar equations in the grid frame in this work. In the coarse alignment stage, the radar information is employed to solve the nonlinear equations by using the multi-population genetic algorithm (MGA), and then the unscented Kalman filter is applied to diminish the noise influence on MGA results. During the fine alignment process, the attitude information is further corrected by the Radar/SINS integrated navigation system under the Arctic coordinate frame. At last, numerical simulations are performed, and the results demonstrate that the proposed scheme achieves better accuracy compared with traditional approaches.

References

1. 1)
  - 6. Titterton, D., Weston, J.: ‘Strapdown inertial navigation technology’ (The American Institude of Aeronautics and Astronautics, Reston, 2004, 2nd edn.).
2. 2)
  - 4. Fang, J., Yang, S.: ‘Study on innovation adaptive EKF for in-flight alignment of airborne POS’, IEEE Trans. Instrum. Meas., 2011, 60, (4), pp. 1378–1388.
3. 3)
  - 12. Malleswaran, M., Vaidehi, V., Ramesh, H., et al: ‘Non linear optimum filter based smoothing interacting multiple model for GPS navigation system’. 2012 Int. Conf. on Recent Trends In Information Technology (ICRTIT), Chennai, Tamil Nadu, India, 2012, pp. 383–388.
4. 4)
  - 16. Liu, H., Tian, H.Q., Liang, X.F., et al: ‘New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, mind evolutionary algorithm and artificial neural networks’, Renew. Energy, 2015, 83, pp. 1066–1075.
5. 5)
  - 10. Quan, W., Fang, J.C.: ‘Research on FKF method based on an improved genetic algorithm for multi-sensor integrated navigation system’, J. Navig., 2012, 65, (3), pp. 495–511.
6. 6)
  - 18. Zhou, Q., Qin, Y.Y., Fu, Q.W., et al: ‘Grid mechanization in inertial navigation systems for transpolar aircraft’, J. Northwestern Polytechnical Univ., 2013, 31, (2), pp. 210–217.
7. 7)
  - 13. Hong, H.S., Lee, J.G., Park, C.G.: ‘Performance improvement of in-flight alignment for autonomous vehicle under large initial heading error’, IEE Proc.-Radar Sonar Navig., 2004, 151, (1), pp. 57–62.
8. 8)
  - 7. Britting, R.K.: ‘Inertial navigation systems analysis’ (Artech House Publishers, USA, 2010, 1st edn.).
9. 9)
  - 9. Goldberg, E.D.: ‘Genetic algorithms in search, optimization and machine learning’ (Addison Wesley Publishing Company, Reading MA, 1989, 1st edn.).
10. 10)
  - 11. Ahmad, A, Andersson, K., Sellgren, U.: ‘A comparative study of friction estimation and compensation using extended, iterated, hybrid, and unscented kalman filters’. Proc. ASME Conf. Int. Design Engineering Technical Conf. and Computers and Information, OR, United states, 2013, pp. 1–9.
11. 11)
  - 14. Esmat, B.: ‘Introduction to modern navigation systems’ (World Scientific, New Jersey, 2007, 1st edn.).
12. 12)
  - 2. Wang, Y.L.: ‘Characteristics of communication and navigation on cross-polar routes’, Eng. Technol., 2006, 01, pp. 46–48.
13. 13)
  - 15. Qian, W.X.: ‘Research on High-Precision Initial Alignment of Strapdown Inertial and Integrated Navigation System’. PhD thesis, Nanjing University of Aeronautics and Astronautics, 2010.
14. 14)
  - 17. Li, W., Wang, J., Lu, L., et al: ‘A novel scheme for DVL-aided SINS in-motion alignment using UKF techniques’, Sensors, 2013, 13, (1), pp. 1046–1063.
15. 15)
  - 3. Winther, J., Njaastad, B.: ‘Strengthening the role of science in antarctic policy shaping: learning from the Arctic’, Antarct. Sci., 2012, 24, (06), p. 545.
16. 16)
  - 8. Papic, V.D., Djurovic, Z.M., Kovacevic, B.D.: ‘Adaptive Doppler Kalman filter for radar systems’, IEE Proc.-Vis. Image Signal Process., 2006, 153, (3), pp. 379–387.
17. 17)
  - 5. Li, Z., Liu, B., Xu, M.: ‘An enaluation of the Arctic route's navigation environment’, Adv. Mater. Res., 2012, 518–523, pp. 1101–1108.
18. 18)
  - 1. ‘Arctic’, available at http://en.wikipedia.org/wiki/Arctic, accessed 14 November 2014.

In-flight initial alignment scheme for radar-aided SINS in the arctic

References

Related content