Channel estimation strategies for underwater acoustic (UWA) communication: An overview.

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Title: Channel estimation strategies for underwater acoustic (UWA) communication: An overview.
Authors: Khan, Md Rizwan1 (AUTHOR), Das, Bikramaditya1 (AUTHOR) adibik09@gmail.com, Pati, Bibhuti Bhusan2 (AUTHOR)
Source: Journal of the Franklin Institute. Jul2020, Vol. 357 Issue 11, p7229-7265. 37p.
Subjects: Channel estimation, Orthogonal frequency division multiplexing, Multipath channels, Underwater exploration
Abstract: Underwater wireless communication techniques have played the most important role in the exploration of oceans and other aquatic environments. Underwater acoustic (UWA) communication faces a lot of hurdles such as environmental characteristics, variety of noises, temperature, pressure, salinity, etc which makes the UWA channel unique. UWA channel modeling is the most demanding task due to its time-varying property and due to its double dispersion property resulting in severe multipath spread and time variation. Accurate estimation and tracking of channel state information (CSI) are required for receiver design and channel capacity analysis in an underwater environment. The goal of this study is to provide a comprehensive survey on channel estimation of the latest researches in the field of UWA communication. The previous works are summarized, reviewed and compared according to their years of publication. This paper provides an overview on the channel model, methods, and algorithms for channel estimation and equalization in an underwater environment. It also includes a journey of channel estimation from time-varying UWA multipath model towards the estimation of a multipath underwater channel in the Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing (MIMO OFDM) environment. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Franklin Institute is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
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  Data: Channel estimation strategies for underwater acoustic (UWA) communication: An overview.
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  Data: <searchLink fieldCode="AR" term="%22Khan%2C+Md+Rizwan%22">Khan, Md Rizwan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Das%2C+Bikramaditya%22">Das, Bikramaditya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> adibik09@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Pati%2C+Bibhuti+Bhusan%22">Pati, Bibhuti Bhusan</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Franklin+Institute%22">Journal of the Franklin Institute</searchLink>. Jul2020, Vol. 357 Issue 11, p7229-7265. 37p.
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  Data: <searchLink fieldCode="DE" term="%22Channel+estimation%22">Channel estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Orthogonal+frequency+division+multiplexing%22">Orthogonal frequency division multiplexing</searchLink><br /><searchLink fieldCode="DE" term="%22Multipath+channels%22">Multipath channels</searchLink><br /><searchLink fieldCode="DE" term="%22Underwater+exploration%22">Underwater exploration</searchLink>
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  Label: Abstract
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  Data: Underwater wireless communication techniques have played the most important role in the exploration of oceans and other aquatic environments. Underwater acoustic (UWA) communication faces a lot of hurdles such as environmental characteristics, variety of noises, temperature, pressure, salinity, etc which makes the UWA channel unique. UWA channel modeling is the most demanding task due to its time-varying property and due to its double dispersion property resulting in severe multipath spread and time variation. Accurate estimation and tracking of channel state information (CSI) are required for receiver design and channel capacity analysis in an underwater environment. The goal of this study is to provide a comprehensive survey on channel estimation of the latest researches in the field of UWA communication. The previous works are summarized, reviewed and compared according to their years of publication. This paper provides an overview on the channel model, methods, and algorithms for channel estimation and equalization in an underwater environment. It also includes a journey of channel estimation from time-varying UWA multipath model towards the estimation of a multipath underwater channel in the Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing (MIMO OFDM) environment. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of the Franklin Institute is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.jfranklin.2020.04.002
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      – Code: eng
        Text: English
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        PageCount: 37
        StartPage: 7229
    Subjects:
      – SubjectFull: Channel estimation
        Type: general
      – SubjectFull: Orthogonal frequency division multiplexing
        Type: general
      – SubjectFull: Multipath channels
        Type: general
      – SubjectFull: Underwater exploration
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      – TitleFull: Channel estimation strategies for underwater acoustic (UWA) communication: An overview.
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            NameFull: Khan, Md Rizwan
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            NameFull: Das, Bikramaditya
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            NameFull: Pati, Bibhuti Bhusan
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              Text: Jul2020
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              Y: 2020
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