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Polarimetric Passive Radar: A Practical Approach to Parametric Adaptive Detection.

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Title: Polarimetric Passive Radar: A Practical Approach to Parametric Adaptive Detection.
Authors: Filippini, Francesca1 (AUTHOR) francesca.filippini@uniroma1.it, Colone, Fabiola1 (AUTHOR) fabiola.colone@uniroma1.it
Source: IEEE Transactions on Aerospace & Electronic Systems. Dec2020, Vol. 56 Issue 6, p4930-4946. 17p.
Subjects: Passive radar, Bistatic radar, Multichannel communication, Autoregression (Statistics), Receiving antennas, Acquisition of data, Degrees of freedom
Abstract: Polarimetric diversity has been recently shown to significantly improve the target detection performance in the passive radar systems if properly exploited to mitigate the competing interference. An adaptive processing scheme is presented in this article, leveraging the information conveyed using multipolarized receiving antennas and modeling the disturbance as a multichannel autoregressive process. Despite the fact that this approach operates with a limited number of the adaptive degrees of freedom, the long integration time exploited by a passive radar typically requires a substantial computational cost and ad hoc expedients for its application. Therefore, a modified cost-effective implementation of the conceived solution is proposed in order to reduce the computational burden while controlling the resulting loss. The authors extensively demonstrate the effectiveness of the proposed solution against the experimental data collected by an FM radio-based passive coherent location system. The experimental results show that the proposed processing scheme yields a remarkable improvement with respect to both the conventional processing at the single polarimetric channel and the state-of-the-art strategies exploiting the polarization diversity in passive radars. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Aerospace & Electronic Systems 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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  Data: Polarimetric Passive Radar: A Practical Approach to Parametric Adaptive Detection.
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  Data: <searchLink fieldCode="AR" term="%22Filippini%2C+Francesca%22">Filippini, Francesca</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> francesca.filippini@uniroma1.it</i><br /><searchLink fieldCode="AR" term="%22Colone%2C+Fabiola%22">Colone, Fabiola</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> fabiola.colone@uniroma1.it</i>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Aerospace+%26+Electronic+Systems%22">IEEE Transactions on Aerospace & Electronic Systems</searchLink>. Dec2020, Vol. 56 Issue 6, p4930-4946. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Passive+radar%22">Passive radar</searchLink><br /><searchLink fieldCode="DE" term="%22Bistatic+radar%22">Bistatic radar</searchLink><br /><searchLink fieldCode="DE" term="%22Multichannel+communication%22">Multichannel communication</searchLink><br /><searchLink fieldCode="DE" term="%22Autoregression+%28Statistics%29%22">Autoregression (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Receiving+antennas%22">Receiving antennas</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Degrees+of+freedom%22">Degrees of freedom</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Polarimetric diversity has been recently shown to significantly improve the target detection performance in the passive radar systems if properly exploited to mitigate the competing interference. An adaptive processing scheme is presented in this article, leveraging the information conveyed using multipolarized receiving antennas and modeling the disturbance as a multichannel autoregressive process. Despite the fact that this approach operates with a limited number of the adaptive degrees of freedom, the long integration time exploited by a passive radar typically requires a substantial computational cost and ad hoc expedients for its application. Therefore, a modified cost-effective implementation of the conceived solution is proposed in order to reduce the computational burden while controlling the resulting loss. The authors extensively demonstrate the effectiveness of the proposed solution against the experimental data collected by an FM radio-based passive coherent location system. The experimental results show that the proposed processing scheme yields a remarkable improvement with respect to both the conventional processing at the single polarimetric channel and the state-of-the-art strategies exploiting the polarization diversity in passive radars. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Aerospace & Electronic Systems 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/TAES.2020.3008548
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 4930
    Subjects:
      – SubjectFull: Passive radar
        Type: general
      – SubjectFull: Bistatic radar
        Type: general
      – SubjectFull: Multichannel communication
        Type: general
      – SubjectFull: Autoregression (Statistics)
        Type: general
      – SubjectFull: Receiving antennas
        Type: general
      – SubjectFull: Acquisition of data
        Type: general
      – SubjectFull: Degrees of freedom
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      – TitleFull: Polarimetric Passive Radar: A Practical Approach to Parametric Adaptive Detection.
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            NameFull: Filippini, Francesca
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              M: 12
              Text: Dec2020
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              Y: 2020
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