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Sensors 2018, 18(2), 554; https://doi.org/10.3390/s18020554

Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm

1
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2
National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
3
Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China
*
Authors to whom correspondence should be addressed.
Received: 29 October 2017 / Revised: 3 February 2018 / Accepted: 7 February 2018 / Published: 11 February 2018
(This article belongs to the Section Sensor Networks)
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Abstract

This article proposes a novel active localization method based on the mixed polarization multiple signal classification (MP-MUSIC) algorithm for positioning a metal target or an insulator target in the underwater environment by using a uniform circular antenna (UCA). The boundary element method (BEM) is introduced to analyze the boundary of the target by use of a matrix equation. In this method, an electric dipole source as a part of the locating system is set perpendicularly to the plane of the UCA. As a result, the UCA can only receive the induction field of the target. The potential of each electrode of the UCA is used as spatial-temporal localization data, and it does not need to obtain the field component in each direction compared with the conventional fields-based localization method, which can be easily implemented in practical engineering applications. A simulation model and a physical experiment are constructed. The simulation and the experiment results provide accurate positioning performance, with the help of verifying the effectiveness of the proposed localization method in underwater target locating. View Full-Text
Keywords: active electro-location; underwater; MP-MUSIC algorithm; electric dipole source; UCA active electro-location; underwater; MP-MUSIC algorithm; electric dipole source; UCA
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Xu, Y.; Shang, W.; Guo, L.; Qi, J.; Li, Y.; Xue, W. Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm. Sensors 2018, 18, 554.

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