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Frequency Diverse Array Radar Application for Drone Detection.

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Title: Frequency Diverse Array Radar Application for Drone Detection.
Authors: Kulkarni, Venugopal1 (AUTHOR) venugopal.lrde@gov.in, Vengadarajan, A.2 (AUTHOR) vengadarajan@yahoo.com, Ray, K. P.1 (AUTHOR) kpray@diat.ac.in
Source: IETE Journal of Research. Apr2025, Vol. 71 Issue 4, p1298-1314. 17p.
Subjects: Phased array antennas, Array processing, Radar, Propellers
Abstract: Growing use of small drones and unmanned aerial vehicles (UAVs) is resulting in increasingly vulnerable security scenarios. Given the serious threat that multi-rotor drones pose, it is becoming more and more important to detect and identify them. Research on systems that can effectively detect and identify drones is therefore crucial. The novel array processing method known as the frequency diversity array (FDA) offers the special advantage of range dependent beam forming. However, there has not been any research done on the possible utilization of FDA waveforms to enhance the drone radar cross-section (RCS) and facilitate detection. This analysis focuses on the rotor-based drones, response to FDA radar. As a highlight, a novel method for RCS enhancement and detection of drone propellers is provided in conjunction with a thorough examination of the propeller radar cross-section (RCS). The usage of target resonant frequency to design diverse frequency set in order to improve RCS is suggested. Additionally, the optimum processing architecture for this use case is also provided. [ABSTRACT FROM AUTHOR]
Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd 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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  Data: Frequency Diverse Array Radar Application for Drone Detection.
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  Data: <searchLink fieldCode="JN" term="%22IETE+Journal+of+Research%22">IETE Journal of Research</searchLink>. Apr2025, Vol. 71 Issue 4, p1298-1314. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Phased+array+antennas%22">Phased array antennas</searchLink><br /><searchLink fieldCode="DE" term="%22Array+processing%22">Array processing</searchLink><br /><searchLink fieldCode="DE" term="%22Radar%22">Radar</searchLink><br /><searchLink fieldCode="DE" term="%22Propellers%22">Propellers</searchLink>
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  Data: Growing use of small drones and unmanned aerial vehicles (UAVs) is resulting in increasingly vulnerable security scenarios. Given the serious threat that multi-rotor drones pose, it is becoming more and more important to detect and identify them. Research on systems that can effectively detect and identify drones is therefore crucial. The novel array processing method known as the frequency diversity array (FDA) offers the special advantage of range dependent beam forming. However, there has not been any research done on the possible utilization of FDA waveforms to enhance the drone radar cross-section (RCS) and facilitate detection. This analysis focuses on the rotor-based drones, response to FDA radar. As a highlight, a novel method for RCS enhancement and detection of drone propellers is provided in conjunction with a thorough examination of the propeller radar cross-section (RCS). The usage of target resonant frequency to design diverse frequency set in order to improve RCS is suggested. Additionally, the optimum processing architecture for this use case is also provided. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd 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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        Value: 10.1080/03772063.2025.2458614
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 1298
    Subjects:
      – SubjectFull: Phased array antennas
        Type: general
      – SubjectFull: Array processing
        Type: general
      – SubjectFull: Radar
        Type: general
      – SubjectFull: Propellers
        Type: general
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      – TitleFull: Frequency Diverse Array Radar Application for Drone Detection.
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              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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