Next Article in Journal
Estimating Household Green Space in Composite Residential Community Solely Using Drone Oblique Photography
Previous Article in Journal
Current Progress in and Future Visions of Key Technologies of UAV-Borne Multi-Modal Geophysical Exploration for Mineral Exploration: A Scoping Review
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 17
Issue 15
10.3390/rs17152690
remotesensing-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Adaptive Array Shape Estimation and High-Resolution Sensing for AUV-Towed Linear Array Sonar During Turns

by
Junxiong Wang
,
Xiang Pan
*,
Lei Cheng
and
Jianbo Jiao
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(15), 2690; https://doi.org/10.3390/rs17152690 (registering DOI)
Submission received: 21 May 2025 / Revised: 24 July 2025 / Accepted: 1 August 2025 / Published: 3 August 2025
(This article belongs to the Section Ocean Remote Sensing)
Versions Notes

Abstract

The deformation of the array shape during the turning process of an autonomous underwater vehicle (AUV)-towed line array sonar can significantly degrade its remote sensing performance. In this paper, a method for circular arc array modeling and dynamic deformation estimation is proposed. By treating the array shape as a hyperparameter, an adaptive central angle (shape) marginal likelihood maximization (ASMLM) algorithm is derived to jointly estimate the array shape and the directions of arrival (DOAs) of sources. The high-resolution ASMLM algorithm is used to improve the DOA estimation performance, effectively suppress left–right ambiguity and significantly reduce computational complexity, making it suitable for AUV platforms with limited computational resources. Experimental results from sea trials in the South China Sea are used to validate the superior performance of the proposed method over existing methods.
Keywords: towed linear array sonar; ocean remote sensing system for AUVs; array signal processing; array shape estimation towed linear array sonar; ocean remote sensing system for AUVs; array signal processing; array shape estimation

Share and Cite

MDPI and ACS Style

Wang, J.; Pan, X.; Cheng, L.; Jiao, J. Adaptive Array Shape Estimation and High-Resolution Sensing for AUV-Towed Linear Array Sonar During Turns. Remote Sens. 2025, 17, 2690. https://doi.org/10.3390/rs17152690

AMA Style

Wang J, Pan X, Cheng L, Jiao J. Adaptive Array Shape Estimation and High-Resolution Sensing for AUV-Towed Linear Array Sonar During Turns. Remote Sensing. 2025; 17(15):2690. https://doi.org/10.3390/rs17152690

Chicago/Turabian Style

Wang, Junxiong, Xiang Pan, Lei Cheng, and Jianbo Jiao. 2025. "Adaptive Array Shape Estimation and High-Resolution Sensing for AUV-Towed Linear Array Sonar During Turns" Remote Sensing 17, no. 15: 2690. https://doi.org/10.3390/rs17152690

APA Style

Wang, J., Pan, X., Cheng, L., & Jiao, J. (2025). Adaptive Array Shape Estimation and High-Resolution Sensing for AUV-Towed Linear Array Sonar During Turns. Remote Sensing, 17(15), 2690. https://doi.org/10.3390/rs17152690

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop