Issue |
EPJ Web Conf.
Volume 318, 2025
III International Conference on Advances in Applied Physics and Mathematics for Energy, Environment and Earth Science (AAPM-III 2025)
|
|
---|---|---|
Article Number | 03005 | |
Number of page(s) | 8 | |
Section | Applied Physics in Earth Sciences and Resource Management | |
DOI | https://doi.org/10.1051/epjconf/202531803005 | |
Published online | 17 February 2025 |
https://doi.org/10.1051/epjconf/202531803005
An experimental method for detecting objects in an aqueous environment
1 Department of General and Applied Physics, Empress Catherine II Saint Petersburg Mining University, St.-Petersburg, Russia
2 Department of Physics, Saint-Petersburg State University of Aerospace Instrumentation, St.-Petersburg, Russia
* Corresponding author: stach@mail.ru
Published online: 17 February 2025
This research introduces a novel experimental approach for identifying conductive and non-conductive objects submerged in shallow water using grounded cables. The methodology is underpinned by a comprehensive mathematical analysis of electromagnetic field diffraction caused by elongated conductive and non-conductive spheroids in an aqueous environment, specifically when interacting with a grounded cable. The experimental configuration employs a parallel arrangement of a generator and two receiving electrode antennas. A key feature of this technique is its ability to distinguish an object's unique flow characteristic from ambient noise. This is achieved through the application of digital hardware and software filtering to a modulated sinusoidal signal. To facilitate this process, the researchers developed a specialized algorithm designed to filter out pulse and fluctuation interference. This innovative approach represents a significant advancement in underwater object detection, offering potential applications in various fields such as marine archaeology, environmental monitoring, and underwater infrastructure inspection.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.