Main-lobe Jamming Suppression Method for Phased Array Netted Radar Based on MSNR-BSS
Compared with the multisite radar, the monostatic radar has the disadvantages of a single viewing angle and less available information. In the presence of main-lobe jamming, the monostatic radar has the problems of poor anti-jamming effect and difficulty in achieving target detection. To solve the a...
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| Veröffentlicht in: | IEEE sensors journal 2022-12, Vol.22 (23), p.1-1 |
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| creator | Han, Xiaofei He, Huafeng Zhang, Qi Yang, Lihao He, Yaomin Li, Zhen |
| description | Compared with the multisite radar, the monostatic radar has the disadvantages of a single viewing angle and less available information. In the presence of main-lobe jamming, the monostatic radar has the problems of poor anti-jamming effect and difficulty in achieving target detection. To solve the above problems, the radar signal processing method and data fusion method are combined in this paper. A main-lobe jamming suppression method for phased array (PA) netted radar based on the maximum signal-to-noise ratio blind source separation (MSNR-BSS) is proposed. Firstly, the received signals of a monostatic PA radar are separated into target signals and jamming signals by the MSNR-BSS method. Secondly, channel accumulation, pulse compression, and constant false-alarm rate (CFAR) target detection are performed on the separated signal channels to obtain the target radial distance. Finally, the data fusion theory of three global orientations is employed to determine the target spatial position. Simulation experiments evaluate the performance of main-lobe jamming suppression and verify the effectiveness of the proposed method. In the presence of noise amplitude modulation (NAM) jamming or smeared spectrum (SMSP) jamming (JNR=100dB), the target positioning accuracy of the proposed method is 6.613m or 6.596m. And the peak sidelobe level ratios (PSLR) in the two jamming environments are approximately equal to - 8dB. |
| doi_str_mv | 10.1109/JSEN.2022.3213986 |
| format | Article |
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In the presence of main-lobe jamming, the monostatic radar has the problems of poor anti-jamming effect and difficulty in achieving target detection. To solve the above problems, the radar signal processing method and data fusion method are combined in this paper. A main-lobe jamming suppression method for phased array (PA) netted radar based on the maximum signal-to-noise ratio blind source separation (MSNR-BSS) is proposed. Firstly, the received signals of a monostatic PA radar are separated into target signals and jamming signals by the MSNR-BSS method. Secondly, channel accumulation, pulse compression, and constant false-alarm rate (CFAR) target detection are performed on the separated signal channels to obtain the target radial distance. Finally, the data fusion theory of three global orientations is employed to determine the target spatial position. Simulation experiments evaluate the performance of main-lobe jamming suppression and verify the effectiveness of the proposed method. In the presence of noise amplitude modulation (NAM) jamming or smeared spectrum (SMSP) jamming (JNR=100dB), the target positioning accuracy of the proposed method is 6.613m or 6.596m. And the peak sidelobe level ratios (PSLR) in the two jamming environments are approximately equal to - 8dB.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2022.3213986</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Amplitude modulation ; Blind source separation ; blind source separation (BSS) ; Constant false alarm rate ; Data integration ; Jamming ; Main-lobe jamming ; phased array (PA) netted radar ; Phased arrays ; Pulse compression ; Radar ; Radar antennas ; Radar arrays ; Radar countermeasures ; Sensors ; Sidelobes ; Signal processing ; Signal processing algorithms ; Signal to noise ratio ; Target detection ; three global orientations</subject><ispartof>IEEE sensors journal, 2022-12, Vol.22 (23), p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-a11d49f503e5b2776ec61dd33e3d228afee80d472a5a8b188a1c3c295ef3386a3</citedby><cites>FETCH-LOGICAL-c293t-a11d49f503e5b2776ec61dd33e3d228afee80d472a5a8b188a1c3c295ef3386a3</cites><orcidid>0000-0001-9344-1005 ; 0000-0003-3456-1773 ; 0000-0003-4541-420X ; 0000-0002-2093-1406</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9923571$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9923571$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Han, Xiaofei</creatorcontrib><creatorcontrib>He, Huafeng</creatorcontrib><creatorcontrib>Zhang, Qi</creatorcontrib><creatorcontrib>Yang, Lihao</creatorcontrib><creatorcontrib>He, Yaomin</creatorcontrib><creatorcontrib>Li, Zhen</creatorcontrib><title>Main-lobe Jamming Suppression Method for Phased Array Netted Radar Based on MSNR-BSS</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>Compared with the multisite radar, the monostatic radar has the disadvantages of a single viewing angle and less available information. In the presence of main-lobe jamming, the monostatic radar has the problems of poor anti-jamming effect and difficulty in achieving target detection. To solve the above problems, the radar signal processing method and data fusion method are combined in this paper. A main-lobe jamming suppression method for phased array (PA) netted radar based on the maximum signal-to-noise ratio blind source separation (MSNR-BSS) is proposed. Firstly, the received signals of a monostatic PA radar are separated into target signals and jamming signals by the MSNR-BSS method. Secondly, channel accumulation, pulse compression, and constant false-alarm rate (CFAR) target detection are performed on the separated signal channels to obtain the target radial distance. Finally, the data fusion theory of three global orientations is employed to determine the target spatial position. Simulation experiments evaluate the performance of main-lobe jamming suppression and verify the effectiveness of the proposed method. In the presence of noise amplitude modulation (NAM) jamming or smeared spectrum (SMSP) jamming (JNR=100dB), the target positioning accuracy of the proposed method is 6.613m or 6.596m. And the peak sidelobe level ratios (PSLR) in the two jamming environments are approximately equal to - 8dB.</description><subject>Amplitude modulation</subject><subject>Blind source separation</subject><subject>blind source separation (BSS)</subject><subject>Constant false alarm rate</subject><subject>Data integration</subject><subject>Jamming</subject><subject>Main-lobe jamming</subject><subject>phased array (PA) netted radar</subject><subject>Phased arrays</subject><subject>Pulse compression</subject><subject>Radar</subject><subject>Radar antennas</subject><subject>Radar arrays</subject><subject>Radar countermeasures</subject><subject>Sensors</subject><subject>Sidelobes</subject><subject>Signal processing</subject><subject>Signal processing algorithms</subject><subject>Signal to noise ratio</subject><subject>Target detection</subject><subject>three global orientations</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1PwkAQhjdGExH9AcbLJp6Luzttd3sEgh8E0FBMvG2W7lRKoK275cC_txXiaWYyzzuTPITcczbgnCVP03SyGAgmxAAEh0TFF6THo0gFXIbqsuuBBSHIr2ty4_2WMZ7ISPbIam6KMthVa6RTs98X5TdND3Xt0PuiKukcm01laV45-rExHi0dOmeOdIFN0w5LY42jo79FR6eLZTBK01tylZudx7tz7ZPP58lq_BrM3l_exsNZkIkEmsBwbsMkjxhgtBZSxpjF3FoABCuEMjmiYjaUwkRGrblShmfQRiPMAVRsoE8eT3drV_0c0Dd6Wx1c2b7UQoZCshDisKX4icpc5b3DXNeu2Bt31JzpTp7u5OlOnj7LazMPp0yBiP98kgiIJIdfrzhpbA</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Han, Xiaofei</creator><creator>He, Huafeng</creator><creator>Zhang, Qi</creator><creator>Yang, Lihao</creator><creator>He, Yaomin</creator><creator>Li, Zhen</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-9344-1005</orcidid><orcidid>https://orcid.org/0000-0003-3456-1773</orcidid><orcidid>https://orcid.org/0000-0003-4541-420X</orcidid><orcidid>https://orcid.org/0000-0002-2093-1406</orcidid></search><sort><creationdate>20221201</creationdate><title>Main-lobe Jamming Suppression Method for Phased Array Netted Radar Based on MSNR-BSS</title><author>Han, Xiaofei ; He, Huafeng ; Zhang, Qi ; Yang, Lihao ; He, Yaomin ; Li, Zhen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-a11d49f503e5b2776ec61dd33e3d228afee80d472a5a8b188a1c3c295ef3386a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Amplitude modulation</topic><topic>Blind source separation</topic><topic>blind source separation (BSS)</topic><topic>Constant false alarm rate</topic><topic>Data integration</topic><topic>Jamming</topic><topic>Main-lobe jamming</topic><topic>phased array (PA) netted radar</topic><topic>Phased arrays</topic><topic>Pulse compression</topic><topic>Radar</topic><topic>Radar antennas</topic><topic>Radar arrays</topic><topic>Radar countermeasures</topic><topic>Sensors</topic><topic>Sidelobes</topic><topic>Signal processing</topic><topic>Signal processing algorithms</topic><topic>Signal to noise ratio</topic><topic>Target detection</topic><topic>three global orientations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Xiaofei</creatorcontrib><creatorcontrib>He, Huafeng</creatorcontrib><creatorcontrib>Zhang, Qi</creatorcontrib><creatorcontrib>Yang, Lihao</creatorcontrib><creatorcontrib>He, Yaomin</creatorcontrib><creatorcontrib>Li, Zhen</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Han, Xiaofei</au><au>He, Huafeng</au><au>Zhang, Qi</au><au>Yang, Lihao</au><au>He, Yaomin</au><au>Li, Zhen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Main-lobe Jamming Suppression Method for Phased Array Netted Radar Based on MSNR-BSS</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2022-12-01</date><risdate>2022</risdate><volume>22</volume><issue>23</issue><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>Compared with the multisite radar, the monostatic radar has the disadvantages of a single viewing angle and less available information. In the presence of main-lobe jamming, the monostatic radar has the problems of poor anti-jamming effect and difficulty in achieving target detection. To solve the above problems, the radar signal processing method and data fusion method are combined in this paper. A main-lobe jamming suppression method for phased array (PA) netted radar based on the maximum signal-to-noise ratio blind source separation (MSNR-BSS) is proposed. Firstly, the received signals of a monostatic PA radar are separated into target signals and jamming signals by the MSNR-BSS method. Secondly, channel accumulation, pulse compression, and constant false-alarm rate (CFAR) target detection are performed on the separated signal channels to obtain the target radial distance. Finally, the data fusion theory of three global orientations is employed to determine the target spatial position. Simulation experiments evaluate the performance of main-lobe jamming suppression and verify the effectiveness of the proposed method. In the presence of noise amplitude modulation (NAM) jamming or smeared spectrum (SMSP) jamming (JNR=100dB), the target positioning accuracy of the proposed method is 6.613m or 6.596m. And the peak sidelobe level ratios (PSLR) in the two jamming environments are approximately equal to - 8dB.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSEN.2022.3213986</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-9344-1005</orcidid><orcidid>https://orcid.org/0000-0003-3456-1773</orcidid><orcidid>https://orcid.org/0000-0003-4541-420X</orcidid><orcidid>https://orcid.org/0000-0002-2093-1406</orcidid></addata></record> |
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| subjects | Amplitude modulation Blind source separation blind source separation (BSS) Constant false alarm rate Data integration Jamming Main-lobe jamming phased array (PA) netted radar Phased arrays Pulse compression Radar Radar antennas Radar arrays Radar countermeasures Sensors Sidelobes Signal processing Signal processing algorithms Signal to noise ratio Target detection three global orientations |
| title | Main-lobe Jamming Suppression Method for Phased Array Netted Radar Based on MSNR-BSS |
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