Identification method based on biomimetic unmanned aerial vehicle cluster
The invention discloses an identification method based on a biomimetic unmanned aerial vehicle cluster. The method specifically comprises the following steps: performing signal processing on an unmanned aerial vehicle cluster signal detected by a radar to obtain a spatial position of a target unmann...
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| creator | WANG WEI GAO WEI ZOU XIAOHAI ZHOU YONGKUN CAI GUIQUAN LI JIAN RAO BIN XU FENG |
| description | The invention discloses an identification method based on a biomimetic unmanned aerial vehicle cluster. The method specifically comprises the following steps: performing signal processing on an unmanned aerial vehicle cluster signal detected by a radar to obtain a spatial position of a target unmanned aerial vehicle; obtaining measurement of the target unmanned aerial vehicle from the spatial position; identifying a cluster mode of the unmanned aerial vehicle cluster based on the measurement to obtain an identification result; wherein the cluster mode comprises a goose group mode, a wolf pack mode and a bee colony mode. The problem that an existing radar data processing technology does not have cluster mode sensing and identification capabilities is solved, three corresponding mode identification methods are provided for three common biomimetic unmanned aerial vehicle clusters including a goose group, a wolf group and a bee group, identification of different cluster modes can be well realized, and the identif |
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The method specifically comprises the following steps: performing signal processing on an unmanned aerial vehicle cluster signal detected by a radar to obtain a spatial position of a target unmanned aerial vehicle; obtaining measurement of the target unmanned aerial vehicle from the spatial position; identifying a cluster mode of the unmanned aerial vehicle cluster based on the measurement to obtain an identification result; wherein the cluster mode comprises a goose group mode, a wolf pack mode and a bee colony mode. The problem that an existing radar data processing technology does not have cluster mode sensing and identification capabilities is solved, three corresponding mode identification methods are provided for three common biomimetic unmanned aerial vehicle clusters including a goose group, a wolf group and a bee group, identification of different cluster modes can be well realized, and the identif</description><language>chi ; eng</language><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ; ELECTRIC DIGITAL DATA PROCESSING ; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES ; MEASURING ; PHYSICS ; RADIO DIRECTION-FINDING ; RADIO NAVIGATION ; TESTING</subject><creationdate>2023</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=20230829&DB=EPODOC&CC=CN&NR=116662838A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230829&DB=EPODOC&CC=CN&NR=116662838A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG WEI</creatorcontrib><creatorcontrib>GAO WEI</creatorcontrib><creatorcontrib>ZOU XIAOHAI</creatorcontrib><creatorcontrib>ZHOU YONGKUN</creatorcontrib><creatorcontrib>CAI GUIQUAN</creatorcontrib><creatorcontrib>LI JIAN</creatorcontrib><creatorcontrib>RAO BIN</creatorcontrib><creatorcontrib>XU FENG</creatorcontrib><title>Identification method based on biomimetic unmanned aerial vehicle cluster</title><description>The invention discloses an identification method based on a biomimetic unmanned aerial vehicle cluster. 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The method specifically comprises the following steps: performing signal processing on an unmanned aerial vehicle cluster signal detected by a radar to obtain a spatial position of a target unmanned aerial vehicle; obtaining measurement of the target unmanned aerial vehicle from the spatial position; identifying a cluster mode of the unmanned aerial vehicle cluster based on the measurement to obtain an identification result; wherein the cluster mode comprises a goose group mode, a wolf pack mode and a bee colony mode. The problem that an existing radar data processing technology does not have cluster mode sensing and identification capabilities is solved, three corresponding mode identification methods are provided for three common biomimetic unmanned aerial vehicle clusters including a goose group, a wolf group and a bee group, identification of different cluster modes can be well realized, and the identif</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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| subjects | ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ELECTRIC DIGITAL DATA PROCESSING LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING |
| title | Identification method based on biomimetic unmanned aerial vehicle cluster |
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