Paper Title
Underwater Communication System for AUV
Article Identifiers
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.
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How To Cite
"Underwater Communication System for AUV", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d553-d556, April-2024, Available :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: 000121229
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
Publisher: IJNRD (IJ Publication) Janvi Wave
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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