ABSTRACT
Autonomous underwater vehicles (AUVs) are the platform of choice for ocean exploration and surveillance in the ice-covered regions. Due to the large attenuation of radio signals in water, acoustic communications have been the major technique for underwater wireless information transfer. In the under-ice environment, the acoustic propagation is largely determined by a stratified sound speed profile (SSP) and the ice-reflection characteristics. Based on the ray theory, this work develops an inversion algorithm to estimate the SSP and the ice reflection coefficient via an iterative method. The acoustic measurements collected during data transmission within the AUV network, including the propagation delay and the amplitude of the received signal along each eigen path, are used for the inversion. With the estimated SSP and the ice-reflection coefficient, the under-ice acoustic field can then be constructed to guide future acoustic communications among the AUVs. The proposed algorithm is evaluated via Bellhop synthesized data and achieves decent accuracy in the SSP and the ice-reflection coefficient estimation.
- Michael Bianco and Peter Gerstoft. 2016. Compressive acoustic sound speed profile estimation. The Journal of the Acoustical Society of America 139, 3 (2016), EL90--EL94.Google ScholarCross Ref
- Stephen Boyd and Lieven Vandenberghe. 2004. Convex optimization. Cambridge university press. Google ScholarDigital Library
- James V Candy and E.J Sullivan. 1993. Sound velocity profile estimation: A system theoretic approach. IEEE journal of oceanic engineering 18,3 (1993), 240--252.Google Scholar
- Finn B Jensen, William A Kuperman, Michael B Porter, and Henrik Schmidt. 2000. Computational ocean acoustics. Springer Science & Business Media.Google Scholar
- Tao Lin and Zoi-Heleni Michalopoulou. 2014. Sound speed estimation and source localization with linearization and particle filtering. The Journal of the Acoustical Society of America 135, 3 (2014), 1115--1126.Google ScholarCross Ref
- Ellen Livingston and Orest Diachok. 1989. Estimation of average under-ice reflection amplitudes and phases using matched-field processing. The Journal of the Acoustical Society of America 86, 5 (1989), 1909--1919.Google ScholarCross Ref
- Xiaoqun Ma. 2001. Efficient inversion methods in underwater acoustics. (2001).Google Scholar
- J.W. Nicholson and A.J. Healey. 2008. The present state of autonomous underwater vehicle (AUV) applications and technologies. Marine Technology Society Journal 42, 1 (2008), 44--51.Google ScholarCross Ref
- Michael B Porter and Homer P Bucker. 1987. Gaussian beam tracing for computing ocean acoustic fields. The Journal of the Acoustical Society of America 82, 4 (1987), 1349--1359.Google ScholarCross Ref
- Wensheng Sun, Chaofeng Wang, Zhaohui Wang, and Min Song. 2015. Experimental Comparison Between Under-Ice and Open-Water Acoustic Channels. In Proceedings of the 10th International Conference on Underwater Networks & Systems. ACM, 39. Google ScholarDigital Library
- Wensheng Sun, Zhaohui Wang, M. Jamalabdollahi, and S.A. Reza Zekavat. 2014. Experimental study on the difference between acoustic communication channels in freshwater rivers/lakes and in oceans. In Proceedings of Asilomar Conf. on Signals, Systems and Computers (2-5).Google Scholar
Recommendations
Long-baseline acoustic navigation for under-ice autonomous underwater vehicle operations
The recent Arctic GAkkel Vents Expedition (AGAVE) to the Arctic Ocean's Gakkel Ridge (July-August 2007) aboard the Swedish icebreaker I-B Oden employed autonomous underwater vehicles (AUVs) for water-column and ocean bottom surveys. These surveys were ...
Sea Experiment for Mobile Underwater Acoustic Networks
WUWNet '19: Proceedings of the 14th International Conference on Underwater Networks & SystemsUnderwater acoustic networks (UWANs) with autonomous underwater vehicles (AUVs) as mobile nodes have the potential to execute many tasks flexibly in the ocean, while the mobility of UWANs introduces many challenges to the design of network protocols. In ...
High accurate positioning technique for AUV
In this paper, a high accurate positioning technique is proposed for autonomous underwater vehicle(AUV). It needs not position correction from Global Position System (GPS) above the sea surface and short- or long-baseline acoustic positioning system(SBL ...
Comments