Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar
Abstract Main lobe deceptive jamming always causes the serious degradation of signal detection ability and angle measurement precision of monopulse radar. In recent years, the Blind Source Separation (BSS) method has been adopted to suppress the main lobe jamming. However, the separation results of...
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| Format: | Article |
| Language: | English |
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Wiley
2024-11-01
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| Series: | IET Radar, Sonar & Navigation |
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| Online Access: | https://doi.org/10.1049/rsn2.12644 |
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| _version_ | 1850219804058714112 |
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| author | Zhenhua Liu Wei Liang Ning Fu Liyan Qiao Jun Zhang |
| author_facet | Zhenhua Liu Wei Liang Ning Fu Liyan Qiao Jun Zhang |
| author_sort | Zhenhua Liu |
| collection | DOAJ |
| description | Abstract Main lobe deceptive jamming always causes the serious degradation of signal detection ability and angle measurement precision of monopulse radar. In recent years, the Blind Source Separation (BSS) method has been adopted to suppress the main lobe jamming. However, the separation results of BSS have the problem of amplitude ambiguity, which will cause the radar using monopulse angle measurement fail to measure the angle parameters after jamming suppression. To tackle this problem, a novel main lobe jamming suppression method is proposed based on BSS and energy detection. Firstly, the models of target echoes and jamming in the sum and difference beam receiving channels are derived. Secondly, the target echoes and interferences are separated by the Joint Approximate Diagonalisation of Eigenmatrices (JADE) algorithm, and then the unperturbed signal segments in the mixed signal are extracted by energy detection, thereby obtaining the precise ratio of the sum and difference channels to complete the angle measurement. Performance of the method was verified by numerical simulation. The results show that the proposed method can achieve interference suppression while accurately estimating the angle parameter of the target. |
| format | Article |
| id | doaj-art-e814ea4c55184819946794f8cbc96ea8 |
| institution | OA Journals |
| issn | 1751-8784 1751-8792 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Radar, Sonar & Navigation |
| spelling | doaj-art-e814ea4c55184819946794f8cbc96ea82025-08-20T02:07:16ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922024-11-0118112170218110.1049/rsn2.12644Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radarZhenhua Liu0Wei Liang1Ning Fu2Liyan Qiao3Jun Zhang4School of Electronics and Information Engineering Harbin Institute of Technology Harbin ChinaBeijing Institute of Remote Sensing Equipment Beijing ChinaSchool of Electronics and Information Engineering Harbin Institute of Technology Harbin ChinaSchool of Electronics and Information Engineering Harbin Institute of Technology Harbin ChinaBeijing Institute of Remote Sensing Equipment Beijing ChinaAbstract Main lobe deceptive jamming always causes the serious degradation of signal detection ability and angle measurement precision of monopulse radar. In recent years, the Blind Source Separation (BSS) method has been adopted to suppress the main lobe jamming. However, the separation results of BSS have the problem of amplitude ambiguity, which will cause the radar using monopulse angle measurement fail to measure the angle parameters after jamming suppression. To tackle this problem, a novel main lobe jamming suppression method is proposed based on BSS and energy detection. Firstly, the models of target echoes and jamming in the sum and difference beam receiving channels are derived. Secondly, the target echoes and interferences are separated by the Joint Approximate Diagonalisation of Eigenmatrices (JADE) algorithm, and then the unperturbed signal segments in the mixed signal are extracted by energy detection, thereby obtaining the precise ratio of the sum and difference channels to complete the angle measurement. Performance of the method was verified by numerical simulation. The results show that the proposed method can achieve interference suppression while accurately estimating the angle parameter of the target.https://doi.org/10.1049/rsn2.12644array signal processingblind source separationelectronic countermeasuresradar interference |
| spellingShingle | Zhenhua Liu Wei Liang Ning Fu Liyan Qiao Jun Zhang Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar IET Radar, Sonar & Navigation array signal processing blind source separation electronic countermeasures radar interference |
| title | Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar |
| title_full | Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar |
| title_fullStr | Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar |
| title_full_unstemmed | Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar |
| title_short | Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar |
| title_sort | main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar |
| topic | array signal processing blind source separation electronic countermeasures radar interference |
| url | https://doi.org/10.1049/rsn2.12644 |
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