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Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery

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Název: Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery
Autoři: Jie Li, Fangjiong Chen, Songzuo Liu, Hua Yu, Fei Ji
Zdroj: Sensors, Vol 19, Iss 22, p 4976 (2019)
Informace o vydavateli: MDPI AG
Rok vydání: 2019
Sbírka: Directory of Open Access Journals: DOAJ Articles
Témata: underwater acoustic channels, doubly spread, delay-doppler-spread function, low-rank matrix recovery, Chemical technology, TP1-1185
Popis: In this paper, the estimation of overspread, i.e., doubly spread underwater acoustic (UWA) channels of strong dispersion is considered. We show that although the UWA channel dispersion causes the degeneration of channel sparsity, it leads to a low-rank structure especially when the channel delay-Doppler-spread function is separable in delay and Doppler domain. Therefore, we introduce the low-rank criterion to estimate the UWA channels, which can help to improve the estimation performance in the case of strong dispersion. The estimator is based on the discrete delay-Doppler-spread function representation of channel, and is formulated as a low-rank matrix recovery problem which can be solved by the singular value projection technique. Simulation examples are carried out to demonstrate the effectiveness of the proposed low-rank-based channel estimator.
Druh dokumentu: article in journal/newspaper
Jazyk: English
Relation: https://www.mdpi.com/1424-8220/19/22/4976; https://doaj.org/toc/1424-8220; https://doaj.org/article/67c7f7b4cf154641b3ab776766e21cd0
DOI: 10.3390/s19224976
Dostupnost: https://doi.org/10.3390/s19224976
https://doaj.org/article/67c7f7b4cf154641b3ab776766e21cd0
Přístupové číslo: edsbas.A7DDB32B
Databáze: BASE
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Jie+Li%22">Jie Li</searchLink><br /><searchLink fieldCode="AR" term="%22Fangjiong+Chen%22">Fangjiong Chen</searchLink><br /><searchLink fieldCode="AR" term="%22Songzuo+Liu%22">Songzuo Liu</searchLink><br /><searchLink fieldCode="AR" term="%22Hua+Yu%22">Hua Yu</searchLink><br /><searchLink fieldCode="AR" term="%22Fei+Ji%22">Fei Ji</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Sensors, Vol 19, Iss 22, p 4976 (2019)
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: MDPI AG
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2019
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: Directory of Open Access Journals: DOAJ Articles
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22underwater+acoustic+channels%22">underwater acoustic channels</searchLink><br /><searchLink fieldCode="DE" term="%22doubly+spread%22">doubly spread</searchLink><br /><searchLink fieldCode="DE" term="%22delay-doppler-spread+function%22">delay-doppler-spread function</searchLink><br /><searchLink fieldCode="DE" term="%22low-rank+matrix+recovery%22">low-rank matrix recovery</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+technology%22">Chemical technology</searchLink><br /><searchLink fieldCode="DE" term="%22TP1-1185%22">TP1-1185</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: In this paper, the estimation of overspread, i.e., doubly spread underwater acoustic (UWA) channels of strong dispersion is considered. We show that although the UWA channel dispersion causes the degeneration of channel sparsity, it leads to a low-rank structure especially when the channel delay-Doppler-spread function is separable in delay and Doppler domain. Therefore, we introduce the low-rank criterion to estimate the UWA channels, which can help to improve the estimation performance in the case of strong dispersion. The estimator is based on the discrete delay-Doppler-spread function representation of channel, and is formulated as a low-rank matrix recovery problem which can be solved by the singular value projection technique. Simulation examples are carried out to demonstrate the effectiveness of the proposed low-rank-based channel estimator.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://www.mdpi.com/1424-8220/19/22/4976; https://doaj.org/toc/1424-8220; https://doaj.org/article/67c7f7b4cf154641b3ab776766e21cd0
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.3390/s19224976
– Name: URL
  Label: Availability
  Group: URL
  Data: https://doi.org/10.3390/s19224976<br />https://doaj.org/article/67c7f7b4cf154641b3ab776766e21cd0
– Name: AN
  Label: Accession Number
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  Data: edsbas.A7DDB32B
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      – Text: English
    Subjects:
      – SubjectFull: underwater acoustic channels
        Type: general
      – SubjectFull: doubly spread
        Type: general
      – SubjectFull: delay-doppler-spread function
        Type: general
      – SubjectFull: low-rank matrix recovery
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      – SubjectFull: Chemical technology
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      – SubjectFull: TP1-1185
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      – TitleFull: Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery
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            NameFull: Jie Li
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            NameFull: Fangjiong Chen
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            NameFull: Hua Yu
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          Titles:
            – TitleFull: Sensors, Vol 19, Iss 22, p 4976 (2019
              Type: main
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