Localization of a Micro AUV with Dynamic Trilateration Using Low-power Packet Radio RSSI
Article Sidebar
Main Article Content
Abstract
Communication radio-based AUV localization was demonstrated in this study. The proposed solution was formulated and derived for both stationary and linearly drifting objects of interest and is possible of operating in GNSS-denied operations. Linear curve-fit to experimental data for radio-distance mapping with range calculation was tested in terrestrial and marine environments. The use of packet radio equipment on a secondary basis for localization may present a potential for reduced requirements for high precision or task-specific hardware in the future.
Article Details
References
J. Hunt, “Global inventory of AUV and glider technology available for routine marine surveying,” 2013. [Online]. Available: https://development.ocean bestpractices.net
L. Madureira, A. Sousa, J. Braga, P. Calado, P. Dias, R. Martins, J. Pinto, and J. Sousa, “The light autonomous underwater vehicle: Evolutions and networking,” in OCEANS-Bergen, 2013 MTS/IEEE. IEEE, 2013, pp. 1–6.
C. C. Eriksen, T. J. Osse, R. D. Light, T. Wen, T. W. Lehman, P. L. Sabin, J. W. Ballard, and A. M. Chiodi, “Seaglider: A long-range autonomous underwater vehicle for oceanographic research,” IEEE Journal of oceanic Engineering, vol. 26, no. 4, pp. 424–436, 2001.
S. Ziaeefard, B. R. Page, L. Knop, G. A. Ribeiro, M. Miller, M. Rastgaar, and N. Mahmoudian, “GUPPIE programa hands-on STEM learning experience for middle school students,” in Frontiers in Education Conference (FIE). IEEE, 2017, pp. 1–8.
P. Banlue, S. Kiewbanyang, T. Phoka, and W. Massagram, “Aerial-tosurface communication and data transferring system for environmental survey,” in 2018 22nd International Computer Science and Engineering Conference (ICSEC). IEEE, 2018, pp. 1–4.
S. Shue, L. E. Johnson, and J. M. Conrad, “Utilization of XBee ZigBee modules and MATLAB for RSSI localization applications,” in SoutheastCon 2017. IEEE, 2017, pp. 1–6.
R. Shigeta, K. Suzuki, F. Okuya, and Y. Kawahara, “Trilaterationinspired sensor node position estimation for UAV-assisted microwave wireless power transfer,” SICE Journal of Control, Measurement, and System Integration, vol. 10, no. 5, pp. 350–359, 2017.
F. Sanfilippo and K. Y. Pettersen, “XBee positioning system with embedded haptic feedback for dangerous offshore operations: a preliminary study,” in OCEANS 2015-Genova. IEEE, 2015, pp. 1–6.
A. Heinemann, A. Gavriilidis, T. Sablik, C. Stahlschmidt, J. Velten, and A. Kummert, “RSSI-based real-time indoor positioning using zigbee technology for security applications,” in International Conference on Multimedia Communications, Services and Security. Springer, 2014, pp. 83–95.
F. Thomas and L. Ros, “Revisiting trilateration for robot localization,” IEEE Transactions on robotics, vol. 21, no. 1, pp. 93–101, 2005.
V. Honkavirta, T. Perala, S. Ali-Loytty, and R. Piche, “A comparative ´ survey of WLAN location fingerprinting methods,” in 2009 6th workshop on positioning, navigation and communication. IEEE, 2009, pp. 243–251.
A. Arya, P. Godlewski, and P. Melle, “Performance analysis of outdoor ´ localization systems based on RSS fingerprinting,” in 2009 6th International Symposium on Wireless Communication Systems. IEEE, 2009, pp. 378–382.
S.-z. Wang, H.-b. Nie, and C.-j. Shi, “A drifting trajectory prediction model based on object shape and stochastic motion features,” Journal of Hydrodynamics, Ser. B, vol. 26, no. 6, pp. 951–959, 2015.
J. Zhang, A. P. Teixeira, C. G. Soares, and X. Yan, “Probabilistic ˆ modelling of the drifting trajectory of an object under the effect of wind and current for maritime search and rescue,” Ocean Engineering, vol. 129, pp. 253–264, 2017.
Ø. Breivik, A. A. Allen, C. Maisondieu, and J. C. Roth, “Windinduced drift of objects at sea: The leeway field method,” Applied Ocean Research, vol. 33, no. 2, pp. 100–109, 2011.
B. Hackett, Ø. Breivik, and C. Wettre, “Forecasting the drift of objects and substances in the ocean,” in Ocean weather forecasting. Springer, 2006, pp. 507–523.
Digi International Inc., “Signal strength and the RSSI pin,” 2019. [Online]. Available: https://www.digi.com/resources/documentation/Digidocs/9000145613/concepts/c_rssi_pin_and_signal_strength.htm
F. Ileri and M. Akar, “RSSI based position estimation in zigbee sensor networks,” WSEAS Recent Advances in Circuits, Systems, Signal Processing and Communications, pp. 62–73, 2014.