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Applied Sciences
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Recent Advances in Underwater Acoustic Communication
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Recent Advances in Underwater Acoustic Communication

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 10 July 2025 | Viewed by 622

Special Issue Editors

Dr. Taeho Im

E-Mail Website
Guest Editor
Department of Information and Communication Engineering, Hoseo University, Asan 31499, Republic of Korea
Interests: wireless communication; underwater communication; computer vision; signal processing
Dr. Ohyun Jo

E-Mail Website
Guest Editor
Department of Computer Science, Chungbuk National University, Chungbuk 28644, Republic of Korea
Interests: wireless communications systems; machine learning applications; Internet of Things
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Underwater acoustic communication plays a crucial role in various applications such as ocean exploration, marine research, environmental monitoring, and military submarine communications.

Due to the unique characteristics of the underwater environment, e.g., strong signal attenuation, multipath dispersion, Doppler shift, and time-varying channel characteristics, there are numerous technical challenges in implementing reliable communication systems.

This Special Issue aims to present the latest research trends and innovative technologies that address these challenges.

In particular, we focus on recent advances in underwater acoustic channel modeling and analysis, physical layer modulation/demodulation techniques, underwater acoustic network optimization, advanced signal processing algorithms, beamforming and MIMO systems, and adaptive modulation technologies.

This Special Issue aims to showcase the latest research from academia and industry while presenting new directions for the advancement of underwater acoustic communications.

Research Topics:

  • Underwater Acoustic Channel Modeling and Characterization;
  • Physical Layer Modulation/Demodulation Techniques for Underwater Communications;
  • Underwater Acoustic Network Protocols and Optimization;
  • Adaptive Signal Processing Algorithms;
  • Beamforming and MIMO System Design;
  • Channel-Adaptive Modulation Schemes;
  • Underwater Communication System Implementation and Performance Evaluation;
  • Underwater Sensor Network Technologies;
  • Machine Learning-based Underwater Communications.

Dr. Taeho Im
Dr. Ohyun Jo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • underwater acoustic communications
  • channel modeling and signal processing
  • MIMO systems and beamforming
  • adaptive modulation techniques
  • underwater network optimization

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Published Papers (2 papers)

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Research

15 pages, 1999 KiB  
Article
Research on Anti-Single-Frequency Interference Ability of Underwater Acoustic DSSS Communication System with Short-Period PN Sequences
by Xiaowei Wang, Yong Wei and Qi Ma
Appl. Sci. 2025, 15(9), 5191; https://doi.org/10.3390/app15095191 - 7 May 2025
Viewed by 99
Abstract
To address the inability to quantitatively analyze the performance of the direct sequence spread spectrum (DSSS) communication system in the presence of short-period pseudo-noise (PN) sequences, this study derives the interference components resulting from correlation processing of single-frequency interference. Given the short period [...] Read more.
To address the inability to quantitatively analyze the performance of the direct sequence spread spectrum (DSSS) communication system in the presence of short-period pseudo-noise (PN) sequences, this study derives the interference components resulting from correlation processing of single-frequency interference. Given the short period of the spread spectrum sequence used in underwater acoustic systems, a theoretical expression is proposed for analyzing the anti-single-frequency interference performance of DSSS communication systems in underwater acoustics. This expression combines the interference power output by the system to enable quantitative analysis. Simulations are conducted to validate the accuracy of the theoretical expression. The results reveal that the interference sequence generated by correlation processing assumes either a direct current (DC) or sinusoidal distribution. The bit error rate (BER) of the system is influenced by signal-to-interference ratio (SIR), interference frequency offset, phase deviation, and the structure of the spreading code itself. The BER exhibits regular variation with changes in the interference phase. In all working conditions where the interference frequency offset is an integer multiple of the bit bandwidth, single-frequency interference with a frequency offset equivalent to the bit bandwidth has the greatest impact on the system. The concise theoretical expression presented in this study has significant practical value as it allows for quick prediction of variation in the anti-single-frequency interference performance of underwater acoustic DSSS communication systems using short-period PN sequences. Full article
(This article belongs to the Special Issue Recent Advances in Underwater Acoustic Communication)
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19 pages, 21547 KiB  
Article
High-Frequency Passive Acoustic Recognition in Underwater Environments: Echo-Based Coding for Layered Elastic Shells
by Zixuan Dai, Zilong Peng and Suchen Xu
Appl. Sci. 2025, 15(7), 3698; https://doi.org/10.3390/app15073698 - 27 Mar 2025
Viewed by 269
Abstract
Addressing the limitations of restricted coding capacity and material dependency in acoustic identity tags for autonomous underwater vehicles (AUVs), this study introduces a novel passive acoustic identification tag (AID) design based on multilayered elastic cylindrical shells. By developing a Normal Mode Series (NMS) [...] Read more.
Addressing the limitations of restricted coding capacity and material dependency in acoustic identity tags for autonomous underwater vehicles (AUVs), this study introduces a novel passive acoustic identification tag (AID) design based on multilayered elastic cylindrical shells. By developing a Normal Mode Series (NMS) analytical model and validating it through finite element method (FEM) simulations, the work elucidates how material layering strategies regulate far-field target strength (TS) and establishes a time-domain multi-peak echo-based encoding framework. Results demonstrate that optimizing material impedance contrasts achieves 99% detection success at a 3 dB signal-to-noise ratio. Jaccard similarity analysis of 3570 material combinations reveals a system-wide average recognition error rate of 0.41%, confirming robust encoding reliability. The solution enables the combinatorial expansion of coding capacity with structural layers, yielding 210, 840, and 2520 unique codes for three-, four-, and five-layer configurations, respectively. These findings validate a scalable, hull-integrated acoustic identification system that overcomes material constraints while providing high-capacity encoding for compact AUVs, significantly advancing underwater acoustic tagging technologies through physics-driven design and systematic performance validation. Full article
(This article belongs to the Special Issue Recent Advances in Underwater Acoustic Communication)
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