Underwater buried target location method based on low signal-to-noise ratio magnetic field signal detection

Yong Yang; Yi Li; Wudi Wen; Zhongle Liu

doi:10.1117/12.3021233

19 January 2024 Underwater buried target location method based on low signal-to-noise ratio magnetic field signal detection

Yong Yang, Yi Li, Wudi Wen, Zhongle Liu

Author Affiliations +

Proceedings Volume 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023); 129801P (2024) https://doi.org/10.1117/12.3021233
Event: Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 2023, Lianyungang, China

Abstract

In the process of underwater buried target detection, the underwater buried target is replaced by a magnetic dipole model. In view of the low signal-to-noise ratio of the target signal, the orthogonal basis decomposition detection algorithm is used to greatly improve the SNR ratio of the magnetic target signal in water and effectively detect the magnetic target. A cruciform detection method is used to determine the location of the magnetic target. The simulation results show that this method has certain engineering application value.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yong Yang, Yi Li, Wudi Wen, and Zhongle Liu "Underwater buried target location method based on low signal-to-noise ratio magnetic field signal detection", Proc. SPIE 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 129801P (19 January 2024); https://doi.org/10.1117/12.3021233

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available