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

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Titel: Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery.
Autoren: Li, Jie, Chen, Fangjiong, Liu, Songzuo, Yu, Hua, Ji, Fei
Quelle: Sensors (14248220); Nov2019, Vol. 19 Issue 22, p4976-4976, 1p
Schlagwörter: LOW-rank matrices, CHANNEL estimation, MULTICHANNEL communication, DISPERSION (Chemistry)
Abstract: 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. [ABSTRACT FROM AUTHOR]
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  Label: Title
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  Data: Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery.
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  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Li%2C+Jie%22">Li, Jie</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Fangjiong%22">Chen, Fangjiong</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Songzuo%22">Liu, Songzuo</searchLink><br /><searchLink fieldCode="AR" term="%22Yu%2C+Hua%22">Yu, Hua</searchLink><br /><searchLink fieldCode="AR" term="%22Ji%2C+Fei%22">Ji, Fei</searchLink>
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  Data: Sensors (14248220); Nov2019, Vol. 19 Issue 22, p4976-4976, 1p
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  Data: <searchLink fieldCode="DE" term="%22LOW-rank+matrices%22">LOW-rank matrices</searchLink><br /><searchLink fieldCode="DE" term="%22CHANNEL+estimation%22">CHANNEL estimation</searchLink><br /><searchLink fieldCode="DE" term="%22MULTICHANNEL+communication%22">MULTICHANNEL communication</searchLink><br /><searchLink fieldCode="DE" term="%22DISPERSION+%28Chemistry%29%22">DISPERSION (Chemistry)</searchLink>
– Name: Abstract
  Label: Abstract
  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. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Sensors (14248220) is the property of MDPI 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: 10.3390/s19224976
    Languages:
      – Code: eng
        Text: English
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        StartPage: 4976
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        Type: general
      – SubjectFull: CHANNEL estimation
        Type: general
      – SubjectFull: MULTICHANNEL communication
        Type: general
      – SubjectFull: DISPERSION (Chemistry)
        Type: general
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      – TitleFull: Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery.
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            NameFull: Liu, Songzuo
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            NameFull: Yu, Hua
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              Text: Nov2019
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              Y: 2019
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