Paper Title

Underwater Communication System for AUV

Article Identifiers

Registration ID: IJNRD_218230

Published ID: IJNRD2404361

DOI: Click Here to Get

Authors

Keerthika Sathish , Aditya Binoy , Anjal J Sankar , V. Sangeetha

Keywords

Autonomous underwater vehicles, signal denoising.

Abstract

Amidst the growing demand for dependable underwater communication in challenging acoustic environments, the understanding and manipulation of acoustic signals are crucial. Acoustic signals refer to sound waves propagating through a medium, such as water, and are fundamental to underwater communication systems. Our proposed solution addresses this challenge by employing AI-based denoising methods tailored specifically for underwater acoustic signal processing. Utilizing sophisticated deep learning architectures, our system seamlessly integrates into underwater communication systems, enabling real- time signal processing. By combining advanced machine learning models with a combination filter, we achieve remarkable denoising performance. Through rigorous simulations and field trials conducted across diverse underwater conditions, we demonstrate the effectiveness of our approach in significantly enhancing communication performance. Specifically, we showcase the superior performance of convolutional neural networks (CNNs) in mitigating background noise and improving signal clarity, thereby ensuring reliable underwater communication in challenging acoustic environments.

How To Cite (APA)

Keerthika Sathish, Aditya Binoy, Anjal J Sankar, & V. Sangeetha (April-2024). Underwater Communication System for AUV. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), d553-d556. https://ijnrd.org/papers/IJNRD2404361.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : d553-d556

Other Publication Details

Paper Reg. ID: IJNRD_218230

Published Paper Id: IJNRD2404361

Downloads: 000121983

Research Area: Engineering

Country: Bangalore, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404361.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404361

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

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