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Multiple AUV Navigation without Using Acoustic Beacons

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Abstract

Autonomous bottom sensor networks are increasingly used to collect various data near the sea bottom. Transmitting these large accumulated data arrays to the data collection and processing center is a pressing problem. A promising method to retrieve data from sensor nodes is to use multiple autonomous underwater vehicles (AUV). The quality of underwater mission performance is then determined by accurate navigation of each vehicle within the group. The article presents a new efficient method of multiple AUV navigation for performing the vital task – servicing the autonomous network of bottom sensor stations. The method requires neither beacons of long baseline acoustic navigation system (LBL ANS) nor surface vehicles. During the mission, some AUVs are moving to the target sensor nodes, while the others are docked to the sensor nodes, read out the accumulated data, and perform the maintenance procedures (battery recharging, state diagnostics, and correction of the mission program). The main idea of the method is that the AUVs docked to the sensor nodes function as temporary stationary beacons of the differential ranging (DR) ANS for the other moving AUVs. The algorithms of the proposed navigation method are considered.

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REFERENCES

  1. Farr, N., Collins, J. et al., Wireless retrieval of high-rate ocean bottom seismograph data and time synchronization using the WHOI optical modem and REMUS AUV, Proceedings of the MTS/IEEE International Conference OCEANS 2019 MTS/IEEE, Seattle, USA.

  2. Rodionov, A.Yu. and Scherbatyuk, A.F., Prospects for application of optical communication and attitude determination systems to underwater robotics, Podvodnye issledovaniya i robototekhnika, 2021, no. 4, pp. 37–49.

  3. Thompson, J. et al., Multi-AUV placement for coverage maximization in underwater optical wireless sensor networks, Proceedings of the MTS/IEEE International Conference OCEANS 2020 MTS/IEEE, San-Diego, USA.

  4. Pessoa, L., Duarte, C., Salgado, H., Correia, V., Ferreira, B., Cruz, N., and Matos, A., Design of an underwater sensor network perpetually powered from AUVs, Proceedings of the MTS/IEEE International Conference OCEANS 2019 MTS/IEEE, Marseille, France.

  5. Maki, T., Matsuda, T., Sakamaki, T., Ura, T., and Kojima, J., Navigation method for underwater vehicles based on mutual acoustical positioning with a single seafloor station, IEEE Journal of Oceanic Engineering, January 2013, vol. 38, pp. 167–177. https://doi.org/10.1109/JOE.2012.2210799

    Article  Google Scholar 

  6. Matsuda, T., Maki, T., Sato, Y., and Sakamaki, T., Experimental evaluation of accuracy and efficiency of alternating landmark navigation by multiple AUVs, IEEE Journal of Oceanic Engineering, 2018, vol. 43., no. 2, pp. 1–23. https://doi.org/10.1109/JOE.2018.2792579

    Article  Google Scholar 

  7. Caiti, A., Calabrò, V., Fabbri, T., Fenucci, D., and Munafò, A., Underwater communication and distributed localization of AUV teams, Proceedings of the MTS/IEEE International Conference OCEANS 2013, Bergen. P. 1-8.

  8. Sergeenko, N., Scherbatyuk, A., and Dubrovin, F., Some algorithms of cooperative AUV navigation with mobile surface beacon, Proceedings of the MTS/IEEE International Conference OCEANS 2013, San- Diego, USA, pp. 1–6.

  9. Gao, R. and Chitre, M., Cooperative positioning using range-only measurements between two AUVs, Proceedings of the MTS/IEEE International Conference OCEANS 2010, Sydney, NSW, Australia, pp. 1–6.

  10. Baccou, P., Jouvencel, B., Creuze, V., and Rabaud, C., Cooperative positioning and navigation for multiple AUV operations, Proceedings of the MTS/IEEE International Conference OCEANS 2001, vol. 3, pp. 1816–1821.

  11. Vaganay, J., Leonard, J., Curcio, J., and Willcox, S., Experimental validation of the moving long base line navigation concept, Proceedings of the IEEE International Conference AUV 2004, pp. 1–7.

  12. Zhang, L., Xu, D., Liu, M., Yan, W., and Gao, J., An algorithm for cooperative navigation of multiple UUVs, Proceedings of the Sixth International Symposium on Underwater Technology, UT 2009, Wuxi, China, April 2009, pp. 1–6.

  13. Mirabellot, D., Sandersont, A., and Blidberg, D., Comparing Kalman and particle filter approaches to coordinated multi-vehicle navigation, Proceedings of the International Conference UUST 2007, NH, USA, 2007, pp. 1–6.

  14. Dubrovin, F., Scherbatyuk, A., Scherbatyuk, D., Rodionov, A., and Vaulin, Yu., Navigation for AUV located in the shadow area of LBL during the group operations, Proceedings of the MTS/IEEE Conference OCEANS 2020, Singapore-U.S. Gulf Coast.

  15. Scherbatyuk,, A.F., Vorontsov, A.V., Kushnerik, A.A. et al., Video processing algorithms for some AUV control and navigation tasks, Podvodnye issledovaniya i robototekhnika, 2010, no. 1, pp. 29-39.

  16. 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/10.1016/j.ifacol.2022.07.394

    Article  Google Scholar 

  17. 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 2. Solution examples, Gyroscopy and Navigation, 2021, vol. 12, no. 4, pp. 314–328. https://doi.org/10.1134/S2075108721040088

    Article  Google Scholar 

  18. Wan, E. and Merwe, R., The Unscented Kalman Filter for nonlinear estimation, Proceedings of the IEEE Symposium “Adaptive Systems for Signal Processing, Communications, and Control” (The IEEE AS-SPCC 2000).

  19. Julier, S.J. and Uhlmann, J.K., Unscented filtering and nonlinear estimation, Proceedings of the IEEE, March 2004, vol. 92, no. 3, pp. 401–422.

    Article  Google Scholar 

  20. Gustafsson, F., Gunnarsson, F., Bergman, N. et al., Particle filters for positioning, navigation, and tracking, IEEE Transactions on Signal Processing, 2002, vol. 50, no. 2, pp. 425–437.

    Article  Google Scholar 

  21. Stepanov, O.A. and Toropov, A.B., Application of sequential Monte-Carlo methods to map-aided navigation, Izvestiya vuzov. Priborostroenie, 2010, vol. 53, no. 10, pp. 49–54.

    Google Scholar 

  22. Stepanov, O.A. and Toropov, A.B., Application of sequential Monte Carlo methods using analytical integration procedures to navigation data processing, XII Vserossiiskoe soveshchanie po problemam upravleniya (12th All-Russian Conference on Control), 2014, Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, pp. 3324–3337.

  23. Dubrovin, F.S. and Scherbatyuk, A.F., Studying some algorithms for AUV navigation using a single beacon: The results of simulation and sea trials, Gyroscopy and Navigation, 2016, vol. 7, no. 2, pp. 189–196. https://doi.org/10.1134/S2075108716020024

    Article  Google Scholar 

  24. Rybakov, K.A., Solving the nonlinear problems of estimation for navigation data processing using continuous-time particle filter, Gyroscopy and Navigation, 2019, vol. 10, no. 1, pp. 27–34. https://doi.org/10.1134/S2075108719010061

    Article  Google Scholar 

  25. Maurelli, F. and Krupinski, S., A semantic-aided particle filter approach for AUV localization, Proceedings of the MTS/IEEE Conference OCEANS 2018, Kobe, Japan.

  26. Fei, X., Shen, Y., and Yan, T., Application of AUV navigation based on deterministic particle filter algorithm, Proceedings of the MTS/IEEE Conference OCEANS 2018, Charleston, USA.

  27. Menna, B.V., Villar, S.A., and Acosta, G.G., Particle filter based autonomous underwater vehicle navigation system aided through acoustic communication ranging, Proceedings of the MTS/IEEE Conference OCEANS 2020, San-Diego, USA.

  28. Scherbatyuk, D.A., AUV group navigation algorithm based on the particle filter and differential ranging acoustic system, Podvodnye issledovaniya i robototekhnika, 2021, no. 4, pp. 50–59.

  29. Dubrovin, F., Vaulin, Yu., Scherbatyuk, D., and Scherbatyuk, A., Some results of preliminary natural experiments for algorithms of differential-ranging acoustic positioning system intended for AUV group navigation, Proceedings of the 27th International Conference on Integrated Navigation Systems, St. Petersburg, 25–27 May 2020.

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  1. Institute of Automation and Control Processes of Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia

    A. F. Scherbatyuk

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  1. A. F. Scherbatyuk
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Correspondence to A. F. Scherbatyuk.

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Scherbatyuk, A.F. Multiple AUV Navigation without Using Acoustic Beacons. Gyroscopy Navig. 13, 253–261 (2022). https://doi.org/10.1134/S2075108722040113

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