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Estimation of the Under-Ice Acoustic Field in AUV Communication Networks

Published: 06 November 2017 Publication History

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.

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cover image ACM Conferences
WUWNet '17: Proceedings of the 12th International Conference on Underwater Networks & Systems
November 2017
144 pages
ISBN:9781450355612
DOI:10.1145/3148675
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2017

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Author Tags

  1. Autonomous underwater vehicle
  2. ray theory
  3. reflection coefficient
  4. sound speed profile
  5. under-ice

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  • Short-paper
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  • Refereed limited

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Overall Acceptance Rate 84 of 180 submissions, 47%

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