Underwater Target Localization Method Based on Uniform Linear Electrode Array
The underwater electric field signal can be excited by underwater vehicles, such as the shaft-rate electric field and the corrosion electric field. The electric field signature of each vehicle exhibits significant differences in time and frequency domain, which can be exploited to determine target p...
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MDPI AG
2025-02-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/2/306 |
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| author | Wenjing Shang Feixiang Gao Jiahui Liu Yunhe Pang Sergey V. Volvenko Vladimir M. Olshanskiy Yidong Xu |
| author_facet | Wenjing Shang Feixiang Gao Jiahui Liu Yunhe Pang Sergey V. Volvenko Vladimir M. Olshanskiy Yidong Xu |
| author_sort | Wenjing Shang |
| collection | DOAJ |
| description | The underwater electric field signal can be excited by underwater vehicles, such as the shaft-rate electric field and the corrosion electric field. The electric field signature of each vehicle exhibits significant differences in time and frequency domain, which can be exploited to determine target positions. In this paper, a novel passive localization method for underwater targets is presented, leveraging a uniform linear electrode array (ULEA). The ULEA manifold along the axial direction is derived from the electric field propagation in an infinite lossy medium, which provides the nonlinear mapping relationship between the target position and the voltage data acquired by the ULEA. In order to locate the targets, the multiple signal classification (MUSIC) algorithm is applied. Then, capitalizing on the rotational invariance of matrix operations and exploiting the symmetry inherent in the ULEA, we streamline the six-dimensional spatial spectral scanning onto a two-dimensional plane, providing azimuth and distance information for the targets. This method significantly reduces computational overhead. To validate the efficacy of our proposed method, we devise a localization system and conduct a simulation environment to estimate targets. Results show that our method achieves satisfactory direction and reliable distance estimations, even in scenarios with low signal-to-noise ratios. |
| format | Article |
| id | doaj-art-dc29f882c3584a25a5146d03e240d081 |
| institution | DOAJ |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-dc29f882c3584a25a5146d03e240d0812025-08-20T03:11:21ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-02-0113230610.3390/jmse13020306Underwater Target Localization Method Based on Uniform Linear Electrode ArrayWenjing Shang0Feixiang Gao1Jiahui Liu2Yunhe Pang3Sergey V. Volvenko4Vladimir M. Olshanskiy5Yidong Xu6School of Physics and Electronic Information, Yantai University, Yantai 264005, ChinaSchool of Physics and Electronic Information, Yantai University, Yantai 264005, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaYantai Research Institute, Harbin Engineering University, Yantai 264006, ChinaHigher School of Applied Physics and Space Technologies, Peter the Great St. Petersburg Polytechnic University (SPbPU), 195251 St. Petersburg, RussiaA.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, 119071 Moscow, RussiaYantai Research Institute, Harbin Engineering University, Yantai 264006, ChinaThe underwater electric field signal can be excited by underwater vehicles, such as the shaft-rate electric field and the corrosion electric field. The electric field signature of each vehicle exhibits significant differences in time and frequency domain, which can be exploited to determine target positions. In this paper, a novel passive localization method for underwater targets is presented, leveraging a uniform linear electrode array (ULEA). The ULEA manifold along the axial direction is derived from the electric field propagation in an infinite lossy medium, which provides the nonlinear mapping relationship between the target position and the voltage data acquired by the ULEA. In order to locate the targets, the multiple signal classification (MUSIC) algorithm is applied. Then, capitalizing on the rotational invariance of matrix operations and exploiting the symmetry inherent in the ULEA, we streamline the six-dimensional spatial spectral scanning onto a two-dimensional plane, providing azimuth and distance information for the targets. This method significantly reduces computational overhead. To validate the efficacy of our proposed method, we devise a localization system and conduct a simulation environment to estimate targets. Results show that our method achieves satisfactory direction and reliable distance estimations, even in scenarios with low signal-to-noise ratios.https://www.mdpi.com/2077-1312/13/2/306underwater electric field sourcestarget locatinguniform linear electrode array |
| spellingShingle | Wenjing Shang Feixiang Gao Jiahui Liu Yunhe Pang Sergey V. Volvenko Vladimir M. Olshanskiy Yidong Xu Underwater Target Localization Method Based on Uniform Linear Electrode Array Journal of Marine Science and Engineering underwater electric field sources target locating uniform linear electrode array |
| title | Underwater Target Localization Method Based on Uniform Linear Electrode Array |
| title_full | Underwater Target Localization Method Based on Uniform Linear Electrode Array |
| title_fullStr | Underwater Target Localization Method Based on Uniform Linear Electrode Array |
| title_full_unstemmed | Underwater Target Localization Method Based on Uniform Linear Electrode Array |
| title_short | Underwater Target Localization Method Based on Uniform Linear Electrode Array |
| title_sort | underwater target localization method based on uniform linear electrode array |
| topic | underwater electric field sources target locating uniform linear electrode array |
| url | https://www.mdpi.com/2077-1312/13/2/306 |
| work_keys_str_mv | AT wenjingshang underwatertargetlocalizationmethodbasedonuniformlinearelectrodearray AT feixianggao underwatertargetlocalizationmethodbasedonuniformlinearelectrodearray AT jiahuiliu underwatertargetlocalizationmethodbasedonuniformlinearelectrodearray AT yunhepang underwatertargetlocalizationmethodbasedonuniformlinearelectrodearray AT sergeyvvolvenko underwatertargetlocalizationmethodbasedonuniformlinearelectrodearray AT vladimirmolshanskiy underwatertargetlocalizationmethodbasedonuniformlinearelectrodearray AT yidongxu underwatertargetlocalizationmethodbasedonuniformlinearelectrodearray |