A Waveform Design for Integrated Radar and Jamming Based on Smart Modulation and Complementary Coding.

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Title: A Waveform Design for Integrated Radar and Jamming Based on Smart Modulation and Complementary Coding.
Authors: Yan, Huabin1 (AUTHOR) 122104222476@njust.edu.cn, Zhang, Shiyuan1 (AUTHOR), Lu, Xingyu1 (AUTHOR) ee_luxingyu@njust.edu.cn, Yang, Jianchao1 (AUTHOR), Duan, Lunhao1 (AUTHOR), Tan, Ke1 (AUTHOR), Gu, Hong1 (AUTHOR)
Source: Remote Sensing. Aug2024, Vol. 16 Issue 15, p2725. 18p.
Subjects: Binary sequences, Modulation coding, Phase coding, Signal detection, Radar
Abstract: Waveform design for integrated radar and jamming is generally based on the concept of shared waveform, which uses jamming signals without typical radar signal characteristics for detection. Existing waveforms have shown limited design flexibility, high levels of sidelobe in detection results, and overall ordinary performance. We propose an integrated radar and jamming waveform based on smart modulation and complementary coding. Unlike traditional integrated radar and jamming waveform based on smart modulation, the phase angle of the binary phase-coded sequence is adjustable in this smart modulation method, allowing for a controllable jamming effect, achieving true smart modulation. However, this smart modulation waveform also suffers from high sidelobes in detection. To address this issue, we take a complementary coding approach and design a smart modulation waveform with complementary characteristics. This waveform can synthesize a complete linear frequency modulation (LFM) signal by adding two pulses together, thereby reducing the sidelobes in the smart modulation waveform and enhancing its detection performance. Theoretical analysis indicates that the detection and jamming effects of this integrated waveform can be flexibly controlled by adjusting the phase angles of the coding sequences. Simulation analysis and experimental results confirm the significant advantages of this waveform. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing 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. (Copyright applies to all Abstracts.)
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  Data: A Waveform Design for Integrated Radar and Jamming Based on Smart Modulation and Complementary Coding.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Aug2024, Vol. 16 Issue 15, p2725. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Binary+sequences%22">Binary sequences</searchLink><br /><searchLink fieldCode="DE" term="%22Modulation+coding%22">Modulation coding</searchLink><br /><searchLink fieldCode="DE" term="%22Phase+coding%22">Phase coding</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+detection%22">Signal detection</searchLink><br /><searchLink fieldCode="DE" term="%22Radar%22">Radar</searchLink>
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  Label: Abstract
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  Data: Waveform design for integrated radar and jamming is generally based on the concept of shared waveform, which uses jamming signals without typical radar signal characteristics for detection. Existing waveforms have shown limited design flexibility, high levels of sidelobe in detection results, and overall ordinary performance. We propose an integrated radar and jamming waveform based on smart modulation and complementary coding. Unlike traditional integrated radar and jamming waveform based on smart modulation, the phase angle of the binary phase-coded sequence is adjustable in this smart modulation method, allowing for a controllable jamming effect, achieving true smart modulation. However, this smart modulation waveform also suffers from high sidelobes in detection. To address this issue, we take a complementary coding approach and design a smart modulation waveform with complementary characteristics. This waveform can synthesize a complete linear frequency modulation (LFM) signal by adding two pulses together, thereby reducing the sidelobes in the smart modulation waveform and enhancing its detection performance. Theoretical analysis indicates that the detection and jamming effects of this integrated waveform can be flexibly controlled by adjusting the phase angles of the coding sequences. Simulation analysis and experimental results confirm the significant advantages of this waveform. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Remote Sensing 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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RecordInfo BibRecord:
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        Value: 10.3390/rs16152725
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 2725
    Subjects:
      – SubjectFull: Binary sequences
        Type: general
      – SubjectFull: Modulation coding
        Type: general
      – SubjectFull: Phase coding
        Type: general
      – SubjectFull: Signal detection
        Type: general
      – SubjectFull: Radar
        Type: general
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      – TitleFull: A Waveform Design for Integrated Radar and Jamming Based on Smart Modulation and Complementary Coding.
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            NameFull: Yan, Huabin
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            NameFull: Lu, Xingyu
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            NameFull: Duan, Lunhao
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            NameFull: Tan, Ke
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            – D: 01
              M: 08
              Text: Aug2024
              Type: published
              Y: 2024
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