A Novel Co-Calibration Method for a Dual Heterogeneous Redundant Marine INS

REFERENCES

1. ↵
   1. Du, S.,
   2. Sun, W., &
   3. Gao, Y.

   (2017). Improving observability of an inertial system by rotary motions of an IMU. Sensors, 17(4), 698. https://doi.org/10.3390/s17040698
2. ↵
   1. El-Diasty, M., &
   2. Pagiatakis, S.

   (n.d.). Calibration and stochastic modelling of inertial navigation sensor errors. Journal of Global Positioning Systems, 7(2), 170–182. https://file.scirp.org/pdf/POS_08_01_2010070610391660.pdf#page=83
3. ↵
   1. El-Diasty, M., &
   2. Pagiatakis, S.

   (2009). A rigorous temperature-dependent stochastic modelling and testing for MEMS-based inertial sensor errors. Sensors, 9(11), 8473–8489. https://doi.org/10.3390/s91108473
4. ↵
   1. Gade, K.

   (2010). A non-singular horizontal position representation. Journal of Navigation, 63(3), 395–417. https://doi.org/10.1017/S0373463309990415
5. ↵
   1. Gao, P.,
   2. Li, K.,
   3. Wang, L., &
   4. Gao, J.

   (2016). A self-calibration method for non-orthogonal angles of gimbals in tri-axis rotational inertial navigation system. IEEE Sensors Journal, 16(24), 8998–9005. https://doi.org/10.1109/JSEN.2016.2616356
6. ↵
   1. Groves, P. D.

   (2012). Principles of GNSS, Inertial, and Multi-sensor Integrated Navigation Systems (Vol. 39). https://www.emerald.com/insight/content/doi/10.1108/ir.2012.04939caa.011/full/html
7. ↵
   1. He, K. P.,
   2. Shao, Y. P.,
   3. Zhang, L.,
   4. Hu, S. L., &
   5. Li, Y.

   (2014). A study on fault detection method of redundant inertial navigation system on micro AUV. Applied Mechanics and Materials, 709, 473–479. https://doi.org/10.4028/www.scientific.net/AMM.709.473
8. ↵
   1. Korkishko, Y. N.,
   2. Fedorov, V. A.,
   3. Prilutskiy, V. E.,
   4. Ponomarev, V. G.,
   5. Fedorov, I. V.,
   6. Kostritskii, S. M.,
   7. Morev, I. V.,
   8. Obuhovich, D. V.,
   9. Prilutskiy, S. V.,
   10. Zuev, A. I., &
   11. Varnakov, V. K.

   (2017). Highest bias stability fiber-optic gyroscope SRS-5000. Proc. of the 2017 DGON Inertial Sensors and Systems (ISS), Karlsruhe, Germany, 1–23. https://doi.org/10.1109/InertialSensors.2017.8171490
9. ↵
   1. Lefevre, H. C.

   (2012). The fiber-optic gyroscope: Actually better than the ring-laser gyroscope? Proc. of the 22nd International Conference on Optical Fiber Sensor (OFS2012), Beijing, China, Vol. 8421, 63–70. https://doi.org/10.1117/12.978920
10. ↵
    1. Lefèvre, H. C.

    (2013). The fiber-optic gyroscope: Challenges to become the ultimate rotation-sensing technology. Optical Fiber Technology, 19(6), 828–832. https://doi.org/10.1016/j.yofte.2013.08.007
11. ↵
    1. Lèfevre, H. C.,
    2. Steib, A.,
    3. Claire, A.,
    4. Sekeriyan, A.,
    5. Couderette, A.,
    6. Pointel, A.-L.,
    7. Viltard, A.,
    8. Bonnet, A.,
    9. Frénois, A.,
    10. Gandoin, A.,
    11. Laurent, A.,
    12. Luton, A.,
    13. Galbès, A.,
    14. Ecarnot, A.,
    15. Cadier, B.,
    16. Kerouanton, B.,
    17. Lhermitte, B.,
    18. Bonnafé, B.,
    19. Stuber, C., …
    20. Arditty, H. J.

    (2020). The fiber optic gyro ‘adventure’ at Photonetics, iXsea and now iXblue. Optical Waveguide and Laser Sensors, 11405, 10–29. https://doi.org/10.1117/12.2560791
12. ↵
    1. Levinson, E., &
    2. Majure, R.

    (1987). Accuracy enhancement techniques applied to the marine ring laser inertial navigator (MARLIN). NAVIGATION, 34(1), 64–86. https://doi.org/10.1002/j.2161-4296.1987.tb01490.x
13. ↵
    1. Li, Q.,
    2. Ben, Y.,
    3. Yu, F., &
    4. Tan, J.

    (2016). Transversal strapdown INS based on reference ellipsoid for vehicle in the polar region. IEEE Transactions on Vehicular Technology, 65(9), 7791–7795. https://doi.org/10.1109/TVT.2015.2497713
14. ↵
    1. Li, S.,
    2. Sihai, L., &
    3. Runsen, P.

    (2011). Multiple sets of INS fault detection based on information fusion. Proc. of the IEEE 10th International Conference on Electronic Measurement & Instruments, Chengdu, China, Vol. 4, 81–85. https://doi.org/10.1109/ICEMI.2011.6037952
15. ↵
    1. Liu, C.,
    2. Wu, W.,
    3. Feng, G., &
    4. Wang, M.

    (2020). Polar navigation algorithm for INS based on virtual sphere n-vector. Journal of Chinese Inertial Technology, 28(4), 421–428. https://doi.org/10.13695/j.cnki.12-1222/o3.2020.04.001
16. ↵
    1. Liu, W.,
    2. Song, G.,
    3. Sun, W.,
    4. Liu, C., &
    5. Wang, N.

    (2016). High-accuracy transfer alignment method of double master INSs to slave INS. Journal of Chinese Inertial Technology, 24(5), 561–564+570. https://doi.org/10.13695/j.cnki.12-1222/o3.2016.05.001
17. ↵
    1. Liu, W.,
    2. Wang, N.,
    3. Liu, G.,
    4. Nian, H., &
    5. Ai, G.

    (2014). Integration navigation method of dual INS. Journal of Chinese Inertial Technology, 22(1), 1–4+13. https://doi.org/10.13695/j.cnki.12-1222/o3.2014.01.001
18. ↵
    1. Liu, Z.,
    2. Wang, L.,
    3. Li, K., &
    4. Sui, J.

    (2017). An improved rotation scheme for dual-axis rotational inertial navigation system. IEEE Sensors Journal, 17(13), 4189–4196. https://doi.org/10.1109/JSEN.2017.2703604
19. ↵
    1. Mead, D. T., &
    2. Mosor, S.

    (2020). Progress with interferometric fiber optic gyro at Honeywell. Optical Waveguide and Laser Sensors, 11405, 7–22. https://doi.org/10.1117/12.2561135
20. ↵
    1. Qin, F.,
    2. Chang, L., &
    3. Li, A.

    (2018). Improved transversal polar navigation mechanism for strapdown INS using ellipsoidal earth model. Journal of Navigation, 71(6), 1460–1476. https://doi.org/10.1017/S0373463318000425
21. ↵
    1. Shen, C., &
    2. Chen, X.

    (2012). Analysis and modeling for fiber-optic gyroscope scale factor based on environment temperature. Applied Optics, 51(14), 2541. https://doi.org/10.1364/AO.51.002541
22. ↵
    1. Tucker, T., &
    2. Levinson, D. E.

    (2000). The AN/WSN-7B Marine Gyrocompass/Navigator [Personal communication].
23. ↵
    1. Wang, L.,
    2. Wu, W.,
    3. Wei, G.,
    4. Pan, X., &
    5. Lian, J.

    (2018). Navigation information fusion in a redundant marine rotational inertial navigation system configuration. Journal of Navigation, 71(6), 1531–1552. https://doi.org/10.1017/S0373463318000322
24. ↵
    1. Wang, M.,
    2. Cui, J.,
    3. Huang, Y.,
    4. Wu, W., &
    5. Du, X.

    (2021). Schmidt ST-EKF for autonomous land vehicle SINS/ODO/LDV integrated navigation. IEEE Transactions on Instrumentation and Measurement, 70, 1–9. https://doi.org/10.1109/TIM.2021.3122530

    CrossRef
25. ↵
    1. Wang, M.,
    2. Wu, W.,
    3. He, X.,
    4. Li, Y., &
    5. Pan, X.

    (2019). Consistent ST-EKF for long distance land vehicle navigation based on SINS/OD integration. IEEE Transactions on Vehicular Technology, 68(11), 10525–10534. https://doi.org/10.1109/TVT.2019.2939679
26. ↵
    1. Wang, M.,
    2. Wu, W.,
    3. Zhou, P., &
    4. He, X.

    (2018). State transformation extended Kalman filter for GPS/SINS tightly coupled integration. GPS Solutions, 22(4), 112. https://doi.org/10.1007/s10291-018-0773-3
27. ↵
    1. Wu, Q., &
    2. Li, K.

    (2019). An inertial device biases on-line monitoring method in the applications of two rotational inertial navigation systems redundant configuration. Mechanical Systems and Signal Processing, 120, 133–149. https://doi.org/10.1016/j.ymssp.2018.10.005
28. ↵
    1. Yao, Y.,
    2. Xu, X.,
    3. Li, Y.,
    4. Liu, Y.,
    5. Sun, J., &
    6. Tong, J.

    (2016). Transverse navigation under the ellipsoidal earth model and its performance in both polar and non-polar areas. Journal of Navigation, 69(2), 335–352. https://doi.org/10.1017/S0373463315000715
29. ↵
    1. Zhang, E.

    (2018). Compensation for the temperature dependency of fiber optic gyroscope scale factor via Er-doped super fluorescent fiber source. Optical Engineering, 57(08), 1. https://doi.org/10.1117/1.OE.57.8.085106