Skip to main content
Log in

AUV Relative Position and Attitude Determination Using Acoustic Beacons

  • Published:
Gyroscopy and Navigation Aims and scope Submit manuscript

Abstract

A real-time algorithm for autonomous underwater vehicle (AUV) relative position and attitude determination has been proposed, which uses range measurements to acoustic beacons positioned at small distances to each other on a common platform. Mutual arrangement of AUV and beacons is a priori unknown, and their time scales are not synchronized. The developed algorithm considers the nonlinear character of measurements while featuring a lower computational burden compared to the maximum likelihood method. Results from simulation and postprocessing of real data with different AUV arrangements relative to the beacons are provided.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.

REFERENCES

  1. Sotiropoulos, P., Tosi, N., Andritsos, F., and Geffard, F., Optimal docking pose and tactile hook-localisation strategy for AUV intervention: The DIFIS deployment case, Ocean Engineering, 2012, vol. 46, pp. 33–45.

    Article  Google Scholar 

  2. Palomeras, N., Ridao, P., Ribas, D., and Vallicrosa, G., Autonomous I-AUV docking for fixed-base manipulation, Proceedings of the 19th IFAC World Congress, August 24-29, 2014, Cape Town, South Africa, pp. 12160–12165, https://doi.org/10.3182/20140824-6-ZA-1003.01878

  3. Vallicrosa, G., Bosch, J., Palomeras, N., Ridao, P., Carreras, M., and Gracias, N., Autonomous homing and docking for AUVs using range-only localization and light beacons, IFAC-PapersOnLine, 2016, vol. 49, issue 23, pp. 54–60. https://doi.org/10.1016/j.ifacol.2016.10.321

    Article  MathSciNet  Google Scholar 

  4. Kebkal, K.G. and Mashoshin, A.I., AUV acoustic positioning methods, Gyroscopy and Navigation, 2017, vol. 8, no. 1, pp. 80-89.

    Article  Google Scholar 

  5. Zhong, L., Li, D, Lin, M., Lin, R., and Yang, C., A fast binocular localisation method for AUV docking, Sensors, April 2019, vol. 19, no. 7, p. 1735.

    Article  Google Scholar 

  6. Uchihori, H., Yamamoto, I., and Morinaga, A., Concept of autonomous underwater vehicle docking using 3D imaging sonar, Sensors and Materials, 2019, vol. 31, no. 12, pp. 4223–4230.

    Article  Google Scholar 

  7. Fan, S., Liu, C., Li, B., Xu, Y., and Xu, W., AUV docking based on USBL navigation and vision guidance, Journal of Marine Science and Technology, 2019, vol. 24, no. 3, pp. 673–685.

    Article  Google Scholar 

  8. Wang, J., Xu, T., and Wang, Z., Adaptive robust unscented Kalman filter for AUV acoustic navigation, Sensors, 2020, vol. 20.

  9. Zuo, M., Wang, G., Xiao, Y., and Xiang, G. A unified approach for underwater homing and docking of over-actuated AUV, Journal of Marine Science and Engineering, 2021, vol. 9, p. 884. https://doi.org/10.3390/jmse9080884

    Article  Google Scholar 

  10. Lin, R., Zhang, F., Li, D., Lin, M., Zhou, G., and Yang, C., An improved localization method for the transition between autonomous underwater vehicle homing and docking, Sensors, 2021, vol. 21, p. 2468. https://doi.org/10.3390/s21072468

    Article  Google Scholar 

  11. Gruzlikov, A.M., Short and ultra-short baseline navigation of the AUV for bringing it to the bottom docking device, 29 th St. Petersburg International Conference on Integrated Navigation Systems, St. Petersburg, 2022.

  12. Koshaev, D.A., Relative positioning and attitude determination of autonomous underwater vehicle by acoustic beacon data, Materialy XXXIII konferentsii pamyati N.N. Ostryakova (Proceedings of the 33rd Conference in Memory of N.N. Ostryakov), St. Petersburg, October 4-6, 2022, pp. 70-77.

  13. Emel’yantsev, G.I. and Stepanov, A.P., Integrirovannye inertsial’no-sputnikovye sistemy orientatsii i navigatsii (Integrated INS/GNSS Orientation and Navigation Systems), St. Petersburg: Concern CSRI Elektropribor, JSC, 2016.

  14. Dmitriev, S.P., Vysokotochnaya morskaya navigatsiya (High-Precision Marine Navigation), St. Petersburg: Sudostroenie, 1991.

  15. Stepanov, O.A., Primenenie teorii nelineinoi fil’tratsii v zadachakh obrabotki navigatsionnoi informatsii (Nonlinear Filtering Theory as Applied to Navigation Data Processing), CSRI Elektropribor, St. Petersburg, 2003.

  16. Albert, A., Regression and the Moore-Penrose Pseudo-Inverse, Academic Press, 1972.

    MATH  Google Scholar 

  17. Golub, G.H. and Van Loan, Ch., Matrix Computations, Johns Hopkins University Press, 1996.

    MATH  Google Scholar 

  18. Bancroft, S., An algebraic solution of the GPS equations, IEEE Transactions on Aerospace and Electronic Systems, 1985, vol. 21, no. 7, pp. 56–59.

    Article  Google Scholar 

  19. Shebshaevich, V.S., Dmitriev, P.P., Ivantsevich, N.V. et al., Setevye sputnikovyie radionavigatsionnyie sistemy (Network Satellite Radionavigation Systems), Shebshaevich, V.S., Ed., Moscow: Radio i Svyaz, 1993.

    Google Scholar 

  20. Barabanov, O.O. and Barabanova, L.P., Matematicheskie zadachi dal’nomernoi navigatsii (Mathematical Problems in Range-Based Navigation), Moscow: Fizmatlit, 2007.

  21. Derevyankin, A.V. and Matasov, A.I., Finite algorithm for determining a vehicle’s position by differences in measured pseudoranges, Gyroscopy and Navigation, 2016, vol. 7, no. 1, pp. 100-106. https://doi.org/10.1134/S2075108716010041

    Article  Google Scholar 

  22. Bedin, D.A., Positioning by pseudorange measurements using the Bancroft method: Approaches to the description of the nonlinear error distribution, 29 th St. Petersburg International Conference on Integrated Navigation Systems, St. Petersburg, 2022.

  23. Stepanov, O.A., Litvinenko, Yu.A., Vasiliev, V.A., Toropov, A.B., and Basin, M. V., Polynomial filtering algorithm applied to navigation data processing under quadratic nonlinearities in system and measurement equations. Part 1. Description and comparison with Kalman type algorithms, Gyroscopy and Navigation, 2021, vol. 12, no. 3, pp. 205-223. https://doi.org/10.1134/S2075108721030068

    Article  Google Scholar 

  24. https://www.mathworks.com/help/optim/ug/lsqnonlin.html

  25. https://www.mathworks.com/help/optim/ug/least-squares-model-fitting-algorithms.html#f204

  26. Gill, P.E., Murray, W., and Wright, M.H., Practical Optimization, Academic Press, 1981.

    MATH  Google Scholar 

Download references

ACKNOWLEDGMENTS

The author is grateful to his colleagues from Concern CSRI Elektropribor A.M. Gruzlikov (Head of Department), D.A. Mukhin (Head of Group), N.A. Shalaev (1st category engineer), and V.G. Karaulov (IT engineer), who have tested AUV and beacon models in the test basin and provided the test data for the algorithm evaluation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. A. Koshaev.

Ethics declarations

The author declares that he has no conflicts of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Koshaev, D.A. AUV Relative Position and Attitude Determination Using Acoustic Beacons. Gyroscopy Navig. 13, 262–275 (2022). https://doi.org/10.1134/S2075108722040083

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S2075108722040083

Keywords:

Navigation