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Path Identification in a Power-Line Network Based on Channel Transfer Function Measurements.

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Title: Path Identification in a Power-Line Network Based on Channel Transfer Function Measurements.
Authors: Pagani, Pascal1, Ismail, Amr2, Zeddam, Ahmed1
Source: IEEE Transactions on Power Delivery. Jul2012, Vol. 27 Issue 3, p1081-1089. 9p.
Subjects: Carrier transmission on electric lines, Transfer functions, Electric networks, Maximum likelihood statistics, Algorithms, Attenuation (Physics), Electric impedance
Abstract: The development of very high data-rate power-line communication (PLC) systems requires an accurate knowledge of the transmission phenomena over the electrical network. In particular, the detection of the multiple propagation paths enables a compact description of the channel models, and gives an indication of the network topology, which may, in turn, be exploited to improve the communication techniques over PLC. In this paper, two high-resolution algorithms for the identification of the propagation paths are studied and adapted to the PLC channel characteristics, namely, the frequency-domain maximum-likelihood (FDML) algorithm and the Matrix Pencil (MP) algorithm. A parametric study is then detailed in order to analyze the performance of both algorithms in terms of resolution, computation time, and residual error. The study demonstrates that the MP algorithm provides a quicker convergence and a lower residual error when compared to the FDML algorithm. Finally, the MP algorithm is validated through its application on experimental network measurements. Results show a good agreement between the measurement and the synthetic channel recomposed from the detected paths. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Power Delivery is the property of IEEE 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.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 77361769
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  Data: Path Identification in a Power-Line Network Based on Channel Transfer Function Measurements.
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  Data: <searchLink fieldCode="DE" term="%22Carrier+transmission+on+electric+lines%22">Carrier transmission on electric lines</searchLink><br /><searchLink fieldCode="DE" term="%22Transfer+functions%22">Transfer functions</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+networks%22">Electric networks</searchLink><br /><searchLink fieldCode="DE" term="%22Maximum+likelihood+statistics%22">Maximum likelihood statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Attenuation+%28Physics%29%22">Attenuation (Physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+impedance%22">Electric impedance</searchLink>
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  Label: Abstract
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  Data: The development of very high data-rate power-line communication (PLC) systems requires an accurate knowledge of the transmission phenomena over the electrical network. In particular, the detection of the multiple propagation paths enables a compact description of the channel models, and gives an indication of the network topology, which may, in turn, be exploited to improve the communication techniques over PLC. In this paper, two high-resolution algorithms for the identification of the propagation paths are studied and adapted to the PLC channel characteristics, namely, the frequency-domain maximum-likelihood (FDML) algorithm and the Matrix Pencil (MP) algorithm. A parametric study is then detailed in order to analyze the performance of both algorithms in terms of resolution, computation time, and residual error. The study demonstrates that the MP algorithm provides a quicker convergence and a lower residual error when compared to the FDML algorithm. Finally, the MP algorithm is validated through its application on experimental network measurements. Results show a good agreement between the measurement and the synthetic channel recomposed from the detected paths. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Power Delivery is the property of IEEE 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: 10.1109/TPWRD.2012.2195336
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      – Code: eng
        Text: English
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        PageCount: 9
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      – SubjectFull: Carrier transmission on electric lines
        Type: general
      – SubjectFull: Transfer functions
        Type: general
      – SubjectFull: Electric networks
        Type: general
      – SubjectFull: Maximum likelihood statistics
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Attenuation (Physics)
        Type: general
      – SubjectFull: Electric impedance
        Type: general
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      – TitleFull: Path Identification in a Power-Line Network Based on Channel Transfer Function Measurements.
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            NameFull: Pagani, Pascal
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            NameFull: Ismail, Amr
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            NameFull: Zeddam, Ahmed
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              M: 07
              Text: Jul2012
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              Y: 2012
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