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Blind Detection of Underwater Acoustic Communication Signals Based on Deep Learning

Yongbin Li, Bin Wang, Gaoping Shao, Shuai Shao, Xilong Pei
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
INTRODUCTION Blind detection of underwater acoustic communication (UWAC) signals involves determining whether an observed underwater acoustic signal is a communication signal or ambient noise without any  ...  Existing research on the blind detection of underwater acoustic signals has mainly been conducted on ship-radiated noise, via detecting their single-frequency linear spectrum [1] - [4] .  ...  Furthermore, Fig. 9 shows the amplitude-frequency response curves of the different underwater acoustic channels.  ... 
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Underwater Acoustic Communication Channel Modeling using Deep Learning [article]

Oluwaseyi Onasami, Damilola Adesina, Lijun Qian
<span title="2022-01-25">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we explore the capability of machine learning and deep learning methods to learn and accurately model the underwater acoustic channel using real underwater data collected from a water tank  ...  Experimental results show that these models are able to model the underwater acoustic communication channel well and that deep learning models, especially LSTM are better models in terms of mean absolute  ...  Dept. of Navy or the Office of the Under Secretary of Defense for Research and Engineering (OUSD(R&E)) or the U.S.  ... 
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Instantaneous Gradient Change Rate Based Dual Mode Fractionally Spaced Blind equalization for Underwater Acoustic Channel

Ying XIAO, Fuliang YIN
<span title="2013-05-31">2013</span> <i title="AICIT"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xuvs3okcyvh63d3dstrikqq3t4" style="color: black;">Advances in Information Sciences and Service Sciences</a> </i> &nbsp;
To further improve the performance of wavelet neural network blind equalization based on constant modulus algorithm (CMA) cost function, an instantaneous gradient based dual mode between modified constant  ...  has good tracking ability for underwater acoustic channel.  ...  The authors are grateful to the anonymous referee for a careful checking of the details and for helpful comments that improved this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4156/aiss.vol5.issue10.4">doi:10.4156/aiss.vol5.issue10.4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/midnbzyjjrerrly5tg4gj4c7jq">fatcat:midnbzyjjrerrly5tg4gj4c7jq</a> </span>
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SAM 2020 Author Index

<span title="">2020</span> <i title="IEEE"> 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM) </i> &nbsp;
Sudan SS07.2 A Sparse Learning Based Detector with Enhanced Mismatched Signals Rejection Capabilities Han, Xiao SS03.2 Improved Model-Based Channel Tracking for Underwater Acoustic Communications  ...  Direction of Arrival Estimation of Non-circular Signals using Modified Nested Array Wang, Yuxing SS03.2 Improved Model-Based Channel Tracking for Underwater Acoustic Communications Wei, Junkang  ... 
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Signal processing for underwater acoustic communications

A.C. Sing, J.K. Nelson, S.S. Kozat
<span title="">2009</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/risok53fz5a7tj5f2bczy5zmpq" style="color: black;">IEEE Communications Magazine</a> </i> &nbsp;
One major difference between research in underwater acoustic communications and RF wireless communications lies in the vast variability of the nature of the underwater acoustic medium.  ...  A critically important development for underwater acoustic communications was the demonstration of the feasibility of high-data-rate coherent modulation and detection in underwater acoustic communications  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/mcom.2009.4752683">doi:10.1109/mcom.2009.4752683</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ozntpwvwhjbi5ggg5edgpeubty">fatcat:ozntpwvwhjbi5ggg5edgpeubty</a> </span>
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Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation [article]

Jie Chen, Chang Liu, Jiawu Xie, Jie An, Nan Huang
<span title="2022-02-09">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Inspired by this, in this paper, we present a data-driven approach for underwater acoustic signals separation using deep learning technology.  ...  The underwater acoustic signals separation is a key technique for the underwater communications.  ...  In view of underdetermination in underwater acoustic communication, this paper studies the method of binary time-frequency mask based on sparsity.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.04405v1">arXiv:2202.04405v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nxraoedhp5gwpd5nb4bxr2knge">fatcat:nxraoedhp5gwpd5nb4bxr2knge</a> </span>
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[SAM 2020 Title Page]

<span title="">2020</span> <i title="IEEE"> 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM) </i> &nbsp;
Model-Based Channel Tracking for Underwater Acoustic Communications 82 1570618217 Improved sparse error recovery approach for detecting QAM signals in overloaded massive MIMO systems 83 1570620117  ...  of Jacobi-type algorithms for Independent Component Analysis 113 1570621173 On the DOA Estimation Performance of Optimum Arrays Based on Deep Learning 114 1570617348 On time-invariant FDA beam-pattern  ... 
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Table of contents

<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/64g2ddfw6bhmnktwtxqy44u534" style="color: black;">IEEE Communications Letters</a> </i> &nbsp;
Zhang 1333 SIGNAL PROCESSING Online Blind Equalization for QAM Signals Based on Prediction Principle via Complex Echo State Network ....... .............................................................  ...  Peng 1266 MACHINE LEARNING A Novel Tone Reservation Scheme Based on Deep Learning for PAPR Reduction in OFDM Systems ................. ..................................................................  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/lcomm.2020.2995034">doi:10.1109/lcomm.2020.2995034</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7whata2d3ndavnlaqib2rtjfoi">fatcat:7whata2d3ndavnlaqib2rtjfoi</a> </span>
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SAM 2020 Conference Program

<span title="">2020</span> <i title="IEEE"> 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM) </i> &nbsp;
California, San Diego, USA); Herbert Groll and Christoph F Mecklenbräuker (TU Wien, Austria) On the DOA Estimation Performance of Optimum Arrays Based on Deep Learning Steven Wandale and Koichi Ichige  ...  Leicester, United Kingdom (Great Britain)) Blind source separation methods based on output nonlinear correlation for bilinear mixtures of an arbitrary number of possibly correlated signals Yannick Deville  ... 
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Authors List

<span title="">2020</span> <i title="IEEE"> 2020 National Conference on Communications (NCC) </i> &nbsp;
John D'Souza Performance of Spatially Coupled LDPC Codes over Underwater Acoustic Communication Channel John Philip Bhimavarapu M Manan Bhandari An Efficient Malware Detection Technique Using  ...  Turbulence Induced Intensity and Polarization Fluctuation for Free Space Optical Communication Machine Learning Enabled Detection for QPSK-PD-NOMA System Employing Single Mode Fiber Design of a 3-Bit  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ncc48643.2020.9056032">doi:10.1109/ncc48643.2020.9056032</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tsdhbqblujfwlgf4ojr6ftqdhe">fatcat:tsdhbqblujfwlgf4ojr6ftqdhe</a> </span>
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Optimized Decision Feedback Equalizer Algorithm based on Sparse Underwater Acoustic Channel

<span title="2016-11-05">2016</span> <i title="Facultad De Ingenieria Universidad Del Zulia"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lntjoc3oababpkl27lcqbqhara" style="color: black;">Revista Técnica de la Facultad de Ingeniería Universidad del Zulia</a> </i> &nbsp;
The proposed algorithmreduces the calculation amount with the help of simulated annealing algorithm based on sparse underwater acoustic channel and reaches the effectiveness.  ...  The decision feedback equalizer is a common nonlinear equalizer to overcome the effect of noise in underwater acoustic communication.  ...  Acknowledgements This work was supported by Natural Science Basic Research Plan in Shaanxi Province of China (Project No. 2013JQ8048).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21311/001.39.7.06">doi:10.21311/001.39.7.06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6gwmali7hfdz7edxks5oy5lgmm">fatcat:6gwmali7hfdz7edxks5oy5lgmm</a> </span>
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Why pinnipeds don't echolocate

Ronald J. Schusterman, David Kastak, David H. Levenson, Colleen J. Reichmuth, Brandon L. Southall
<span title="">2000</span> <i title="Acoustical Society of America (ASA)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hwn3tbm3t5cpnjcflcmmwnprc4" style="color: black;">Journal of the Acoustical Society of America</a> </i> &nbsp;
As a result of these constraints, pinnipeds have not developed highly acute, aquatic, high frequency sound production or reception systems required for underwater echolocation.  ...  It has been hypothesized that other groups of marine animals, such as the pinnipeds, possess analogous sound production, reception, and processing mechanisms that allow for underwater orientation using  ...  Despite the lack of supporting evidence, the pinniped echolocation hypothesis maintains a foothold in popular treatments of marine mammal acoustics, and has recently been resurrected based on earlier underwater  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1121/1.428506">doi:10.1121/1.428506</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/10790051">pmid:10790051</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tsmbbrnpqvgmbmkzu2qqwshty4">fatcat:tsmbbrnpqvgmbmkzu2qqwshty4</a> </span>
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Frame Boundary Detection and Deep Learning-based Doppler Shift Estimation for FBMC/OQAM Communication System in Underwater Acoustic Channels

Pushpa Kotipalli, M Adi Surendra Mohanraju, Praveena Vardhanapu
<span title="">2022</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Underwater acoustic (UWA) communication is the only option for underwater long-distance wireless communication.  ...  Stacked autoencoders were adopted for Doppler scale estimation and the performance of the proposed CNN-based Doppler scale estimation method was compared with the stacked autoencoders based Doppler scale  ...  The authors would like to acknowledge the encouragement given by the management of the Shri Vishnu Education Society and the contributions made by students.  ... 
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Author Index

<span title="">2019</span> <i title="IEEE"> 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) </i> &nbsp;
on Deep Learning Method Ting-Lan Lin Analysis of chroma pixel value pred ict ion using luma pixel values Shou-Sheu Lin Novel Subblock Partitioning for PTS Based PAPR Reduction of OFDM Signals  ...  Their Field Evaluation Results 136 A Differential Multiple Single Carrier Modulation Scheme for Underwater Acoustic Communications and Its Actual Evaluation Results Yuki Kubota 52 Proposal of BSS method  ...  Chang-Rong Wu A Continuous Facial Expression Recognition Model based on Deep Learning Method Chao-Ming Wu A Continuous Facial Expression Recognition Model based on Deep Learning Method Zheng-Lin  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ispacs48206.2019.8986344">doi:10.1109/ispacs48206.2019.8986344</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tyfkzg6wt5fr3m3ngmh2vdxsea">fatcat:tyfkzg6wt5fr3m3ngmh2vdxsea</a> </span>
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Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets

Alberto Testolin, Roee Diamant
<span title="2020-05-22">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Accurate detection and tracking of moving targets in underwater environments pose significant challenges, because noise in acoustic measurements (e.g., SONAR) makes the signal highly stochastic.  ...  In this paper, we present an innovative method that allows to accurately detect and track underwater moving targets from the reflections of an active acoustic emitter.  ...  Preliminary work exploiting deep learning for the analysis of passive SONAR has been recently proposed [44, 45] , highlighting the superiority of deep learning over traditional methods based on Mel frequency  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20102945">doi:10.3390/s20102945</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32456024">pmid:32456024</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7287689/">pmcid:PMC7287689</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5djbmfwcdnbexlc2r7s3yfby7u">fatcat:5djbmfwcdnbexlc2r7s3yfby7u</a> </span>
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