Radar moving target multi-frame joint detection method based on graph space-time network
The invention discloses a radar moving target multi-frame joint detection method based on a graph space-time network. The method mainly solves the problem that in the prior art, the false alarm rate of moving target detection of a single-channel system is high. According to the scheme, the method co...
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| creator | QIN SIQI HUANG XUEJUN WEN LIWU DING JINSHAN |
| description | The invention discloses a radar moving target multi-frame joint detection method based on a graph space-time network. The method mainly solves the problem that in the prior art, the false alarm rate of moving target detection of a single-channel system is high. According to the scheme, the method comprises the steps of obtaining a sub-aperture distance Doppler spectrum; constructing a sub-residualnetwork and a sub-graph space-time network, and forming a neural network model for moving target detection by using the sub-residual network and the sub-graph space-time network; performing regionaltarget detection by using the sub residual network, outputting a preliminary detection probability graph, and calculating cross entropy loss; performing spatial-temporal feature extraction and fusionby using a sub-graph spatial-temporal network, outputting a final detection probability graph of an intermediate frame moving target, and calculating a mean square error; and taking the sum of the cross entropy loss and the mea |
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The method mainly solves the problem that in the prior art, the false alarm rate of moving target detection of a single-channel system is high. According to the scheme, the method comprises the steps of obtaining a sub-aperture distance Doppler spectrum; constructing a sub-residualnetwork and a sub-graph space-time network, and forming a neural network model for moving target detection by using the sub-residual network and the sub-graph space-time network; performing regionaltarget detection by using the sub residual network, outputting a preliminary detection probability graph, and calculating cross entropy loss; performing spatial-temporal feature extraction and fusionby using a sub-graph spatial-temporal network, outputting a final detection probability graph of an intermediate frame moving target, and calculating a mean square error; and taking the sum of the cross entropy loss and the mea</description><language>chi ; eng</language><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES ; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES ; MEASURING ; PHYSICS ; RADIO DIRECTION-FINDING ; RADIO NAVIGATION ; TESTING</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200508&DB=EPODOC&CC=CN&NR=111123257A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25547,76298</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200508&DB=EPODOC&CC=CN&NR=111123257A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>QIN SIQI</creatorcontrib><creatorcontrib>HUANG XUEJUN</creatorcontrib><creatorcontrib>WEN LIWU</creatorcontrib><creatorcontrib>DING JINSHAN</creatorcontrib><title>Radar moving target multi-frame joint detection method based on graph space-time network</title><description>The invention discloses a radar moving target multi-frame joint detection method based on a graph space-time network. The method mainly solves the problem that in the prior art, the false alarm rate of moving target detection of a single-channel system is high. According to the scheme, the method comprises the steps of obtaining a sub-aperture distance Doppler spectrum; constructing a sub-residualnetwork and a sub-graph space-time network, and forming a neural network model for moving target detection by using the sub-residual network and the sub-graph space-time network; performing regionaltarget detection by using the sub residual network, outputting a preliminary detection probability graph, and calculating cross entropy loss; performing spatial-temporal feature extraction and fusionby using a sub-graph spatial-temporal network, outputting a final detection probability graph of an intermediate frame moving target, and calculating a mean square error; and taking the sum of the cross entropy loss and the mea</description><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES</subject><subject>DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES</subject><subject>LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>RADIO DIRECTION-FINDING</subject><subject>RADIO NAVIGATION</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyzEOwjAQBEA3FAj4w_EAFyRC1CgCUVEgCrroiC-OQ-yz7AO-j4V4ANusVpqdq9sFDSbw_HLBgmCyJOCfkzjdJ_QEI7sgYEioE8cBPMnABu6YyUDZNmEcIEfsSIsrh0Dy5vRYqlmPU6bVrxdqfTxcm5OmyC19fZFtc96UVHW13e3rf8wHmyk6NQ</recordid><startdate>20200508</startdate><enddate>20200508</enddate><creator>QIN SIQI</creator><creator>HUANG XUEJUN</creator><creator>WEN LIWU</creator><creator>DING JINSHAN</creator><scope>EVB</scope></search><sort><creationdate>20200508</creationdate><title>Radar moving target multi-frame joint detection method based on graph space-time network</title><author>QIN SIQI ; HUANG XUEJUN ; WEN LIWU ; DING JINSHAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111123257A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>ANALOGOUS ARRANGEMENTS USING OTHER WAVES</topic><topic>DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES</topic><topic>LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>RADIO DIRECTION-FINDING</topic><topic>RADIO NAVIGATION</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>QIN SIQI</creatorcontrib><creatorcontrib>HUANG XUEJUN</creatorcontrib><creatorcontrib>WEN LIWU</creatorcontrib><creatorcontrib>DING JINSHAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>QIN SIQI</au><au>HUANG XUEJUN</au><au>WEN LIWU</au><au>DING JINSHAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Radar moving target multi-frame joint detection method based on graph space-time network</title><date>2020-05-08</date><risdate>2020</risdate><abstract>The invention discloses a radar moving target multi-frame joint detection method based on a graph space-time network. The method mainly solves the problem that in the prior art, the false alarm rate of moving target detection of a single-channel system is high. According to the scheme, the method comprises the steps of obtaining a sub-aperture distance Doppler spectrum; constructing a sub-residualnetwork and a sub-graph space-time network, and forming a neural network model for moving target detection by using the sub-residual network and the sub-graph space-time network; performing regionaltarget detection by using the sub residual network, outputting a preliminary detection probability graph, and calculating cross entropy loss; performing spatial-temporal feature extraction and fusionby using a sub-graph spatial-temporal network, outputting a final detection probability graph of an intermediate frame moving target, and calculating a mean square error; and taking the sum of the cross entropy loss and the mea</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ANALOGOUS ARRANGEMENTS USING OTHER WAVES DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING |
| title | Radar moving target multi-frame joint detection method based on graph space-time network |
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