b-frame velocity aided coarse alignment method for dynamic SINS

b-frame velocity aided coarse alignment method for dynamic SINS

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Dynamic alignment is a challenging issue for the strapdown inertial navigation system (SINS), especially in the case of no Global Position System assistance. This study proposes a novel coarse alignment algorithm for b-frame velocity-aided SINS. The attitude is aligned with the optimisation-based alignment method, and the alignment process is treated in the inertial frame, so the Coriolis effect can be partly excluded. Meanwhile, the position of SINS is updated in real time by rigorous dead reckoning method. Simulation and experimental results prove that the proposed method has a good performance in the dynamic coarse alignment of SINS.


    1. 1)
      • 1. He, H. Y., Xu, J.N., Li, F., et al: ‘Genetic algorithm based optimal compass alignment’, IET Radar Sonar Navig., 2016, 10, (2), pp. 411416.
    2. 2)
      • 2. Qin, F.J., Chang, L.B., Hu, B.Q., et al: ‘Strapdown inertial navigation system alignment based on marginalized unscented kalman filter’, IET Sci., Meas. Technol., 2013, 7, (2), pp. 128138.
    3. 3)
      • 3. Silson, P.M.G.: ‘Coarse alignment of a ship's strap down inertial attitude reference system using velocity loci’, IEEE Trans. Instrum. Meas., 2011, 60, pp. 19301941.
    4. 4)
      • 4. Li, J.S., Xu, J.N., Chang, L.B., et al: ‘An improved optimal method for initial alignment’, J. Navig., 2014, 67, (4), pp. 727736.
    5. 5)
      • 5. Chang, L.B., Li, J.S., Chen, S.Y.: ‘Initial alignment by attitude estimation for strapdown inertial navigation systems’, IEEE Trans. Instrum. Meas., 2015, 64, (3), pp. 784794.
    6. 6)
      • 6. Fang, J.C., Yang, S.: ‘Study on innovation adaptive EKF for in-flight alignment of airborne POS’, IEEE Trans. Instrum. Meas., 2011, 60, (4), pp. 13781388.
    7. 7)
      • 7. Napolhano, F., Gaiffe, T., Cottreau, Y., et al: ‘PHINS-the first high performances inertial navigation system based on fiber optic gyroscopes’. Pro. of the 9th Int. Conf. on Integrated Navigation Systems, Saint Petersburg, Russia, 2002, pp. 296304.
    8. 8)
      • 8. Qin, Y.Y., Yan, G.M., Gu, D.Q., et al: ‘A clever way of SINS coarse alignment despite rocking ship’, Northwestern Polytech. Univ., 2005, 23, (5), pp. 681684.
    9. 9)
      • 9. Gu, D.Q., El-Sheimy, N., Hassan, T., et al: ‘Coarse alignment for marine SINS using gravity in the inertial frame as a reference’. Proc. of IEEE/ION PLANS, Monterey, USA, 2008, pp. 961996.
    10. 10)
      • 10. Wu, M.P., Wu, Y.X., Hu, X.P., et al: ‘Optimization-based alignment for inertial navigation systems: theory and algorithm’, Aerosp. Sci. Technol., 2011, 15, (1), pp. 117.
    11. 11)
      • 11. Wu, Y.X., Pan, X.F.: ‘Velocity/position integration formula, part I: application to in-flight coarse alignment’, IEEE Trans. Aerosp. Electron. Syst., 2013, 49, (2), pp. 10061023.
    12. 12)
      • 12. Kang, T.Z., Fang, J.C., Wang, W.: ‘Quaternion-optimization-based in-flight alignment approach for airborne POS’, IEEE Trans. Instrum. Meas., 2012, 61, (11), pp. 29132916.
    13. 13)
      • 13. Li, W.L., Tang, K.H., Lu, L. Q., et al: ‘Optimization-based INS in-motion alignment approach for underwater vehicles’, Optic, 2013, 124, (20), pp. 45814585.
    14. 14)
      • 14. Li, W.L., Wu, W.Q., Wang, J.L., et al: ‘A fast SINS initial alignment scheme for underwater vehicle applications’, J. Navig., 2013, 66, (2), pp. 181198.
    15. 15)
      • 15. Wu, Y.X.: ‘Versatile land navigation using inertial sensors and odometry: self-calibration, in-motion alignment and positioning’. Proc. of Inertial Sensors and Systems - Symp. Gyro Technology, Karlsruhe, GER, 2014, pp. 19.
    16. 16)
      • 16. Yan, G.M., Weng, J., Bai, L., et al: ‘Initial in-movement alignment and position determination based on inertial reference frame’, Syst. Eng. Electron., 2011, 33, (3), pp. 618621.
    17. 17)
      • 17. Yuan, D.Y., Ma, X.C., Liu, Y., et al: ‘Dynamic initial coarse alignment of SINS for AUV using the velocity loci and pressure sensor’, IET Sci. Meas. Technol., 2016, 10, (8), pp. 926933.
    18. 18)
      • 18. Tan, C.M.: ‘Research on the initial alignment of SINS employed in land moving vehicle’, Ph.D. dissertation, Nanjing University of Science & Technology, Nanjing, China, 2016.

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