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Design and Analysis of Different Sidelobe Reduction Filters for P3 Polyphase Codes.

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Title: Design and Analysis of Different Sidelobe Reduction Filters for P3 Polyphase Codes.
Authors: Singh, Sohan Pal1 (AUTHOR) spsingh@mgit.ac.in, Praveena, S.1 (AUTHOR) spraveena_ece@mgit.ac.in
Source: IETE Journal of Research. Feb/Mar2026, Vol. 72 Issue 2/3, p422-430. 9p.
Subjects: Pulse compression (Signal processing), Signal filtering, Genetic algorithms, Radar, Statistical correlation, Radar signal processing
Abstract: Long pulse waveforms feature high energy but low resolution, and short pulse waveforms provide low energy but high range resolution. Employing the Pulse Compression approach enables radar signal designers to achieve the required energy levels of longer duration signals while maintaining the range resolution of shorter duration signals. This method is essential in high-range resolution radar for effectively discriminating targets hidden within dense clutter. Polyphase codes are commonly employed as pulse compression signals in radar systems. Nevertheless, pulse compression codes provide unwanted correlation sidelobes. This paper proposes various Sidelobes Reduction Filters (SRF) designed to mitigate the peak sidelobe levels of P3 polyphase codes used in pulse compression radar. The Modified Genetic Algorithm (MGA) is implemented to optimize the weights of these proposed sidelobe reduction filters. The proposed filters demonstrate a significant reduction in the correlation Peak Sidelobe Level (PSL) associated with well-known P3 polyphase codes. The simulated results presented in this paper demonstrate the improved correlation properties achieved through the proposed techniques. [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.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 194361317
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  Data: Design and Analysis of Different Sidelobe Reduction Filters for P3 Polyphase Codes.
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  Data: <searchLink fieldCode="AR" term="%22Singh%2C+Sohan+Pal%22">Singh, Sohan Pal</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> spsingh@mgit.ac.in</i><br /><searchLink fieldCode="AR" term="%22Praveena%2C+S%2E%22">Praveena, S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> spraveena_ece@mgit.ac.in</i>
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  Data: <searchLink fieldCode="JN" term="%22IETE+Journal+of+Research%22">IETE Journal of Research</searchLink>. Feb/Mar2026, Vol. 72 Issue 2/3, p422-430. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Pulse+compression+%28Signal+processing%29%22">Pulse compression (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+filtering%22">Signal filtering</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Radar%22">Radar</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Radar+signal+processing%22">Radar signal processing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Long pulse waveforms feature high energy but low resolution, and short pulse waveforms provide low energy but high range resolution. Employing the Pulse Compression approach enables radar signal designers to achieve the required energy levels of longer duration signals while maintaining the range resolution of shorter duration signals. This method is essential in high-range resolution radar for effectively discriminating targets hidden within dense clutter. Polyphase codes are commonly employed as pulse compression signals in radar systems. Nevertheless, pulse compression codes provide unwanted correlation sidelobes. This paper proposes various Sidelobes Reduction Filters (SRF) designed to mitigate the peak sidelobe levels of P3 polyphase codes used in pulse compression radar. The Modified Genetic Algorithm (MGA) is implemented to optimize the weights of these proposed sidelobe reduction filters. The proposed filters demonstrate a significant reduction in the correlation Peak Sidelobe Level (PSL) associated with well-known P3 polyphase codes. The simulated results presented in this paper demonstrate the improved correlation properties achieved through the proposed techniques. [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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      – Type: doi
        Value: 10.1080/03772063.2025.2584680
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 9
        StartPage: 422
    Subjects:
      – SubjectFull: Pulse compression (Signal processing)
        Type: general
      – SubjectFull: Signal filtering
        Type: general
      – SubjectFull: Genetic algorithms
        Type: general
      – SubjectFull: Radar
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
      – SubjectFull: Radar signal processing
        Type: general
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      – TitleFull: Design and Analysis of Different Sidelobe Reduction Filters for P3 Polyphase Codes.
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            NameFull: Singh, Sohan Pal
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            NameFull: Praveena, S.
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            – D: 01
              M: 02
              Text: Feb/Mar2026
              Type: published
              Y: 2026
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              Value: 72
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              Value: 2/3
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            – TitleFull: IETE Journal of Research
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