High-precision array direction finding method and system based on data driving
The invention relates to the field of electronic countermeasures, in particular to a high-precision array direction-finding method and system based on data driving, and the method comprises the steps: firstly analyzing the characteristics of an array output covariance matrix under the condition of a...
Gespeichert in:
| Hauptverfasser: | , , , , , , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | LIU SIRUI XIANG KUNZHONG ZHU SHOUZHONG ZHENG JIE XIONG HAILIANG WANG XIAOPING LIU WENGUO ZHONG QINGLIAN |
| description | The invention relates to the field of electronic countermeasures, in particular to a high-precision array direction-finding method and system based on data driving, and the method comprises the steps: firstly analyzing the characteristics of an array output covariance matrix under the condition of a single-signal incident uniform linear array, extracting the input characteristics with small redundancy, and constructing an intelligent array direction-finding frame in combination with a convolutional neural network; then, based on independent component analysis, a multi-signal direction finding problem is converted into a single-signal direction finding problem, and the incoming wave direction of each signal is estimated one by one by using a single-signal trained network; according to the method, the dimensionality of the input feature vector and the number of samples required by network training are reduced, the complexity of direction finding model training is reduced, and meanwhile, the advantage of model e |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117991178A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117991178A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117991178A3</originalsourceid><addsrcrecordid>eNrjZPDzyEzP0C0oSk3OLM7Mz1NILCpKrFRIyQQKlID4aZl5KZl56Qq5qSUZ-SkKiXkpCsWVxSWpuQpJicWpKQpAJSmJJYkKKUWZZUB1PAysaYk5xam8UJqbQdHNNcTZQze1ID8-tbggMTk1L7Uk3tnP0NDc0hJIWDgaE6MGABQSNoc</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>High-precision array direction finding method and system based on data driving</title><source>esp@cenet</source><creator>LIU SIRUI ; XIANG KUNZHONG ; ZHU SHOUZHONG ; ZHENG JIE ; XIONG HAILIANG ; WANG XIAOPING ; LIU WENGUO ; ZHONG QINGLIAN</creator><creatorcontrib>LIU SIRUI ; XIANG KUNZHONG ; ZHU SHOUZHONG ; ZHENG JIE ; XIONG HAILIANG ; WANG XIAOPING ; LIU WENGUO ; ZHONG QINGLIAN</creatorcontrib><description>The invention relates to the field of electronic countermeasures, in particular to a high-precision array direction-finding method and system based on data driving, and the method comprises the steps: firstly analyzing the characteristics of an array output covariance matrix under the condition of a single-signal incident uniform linear array, extracting the input characteristics with small redundancy, and constructing an intelligent array direction-finding frame in combination with a convolutional neural network; then, based on independent component analysis, a multi-signal direction finding problem is converted into a single-signal direction finding problem, and the incoming wave direction of each signal is estimated one by one by using a single-signal trained network; according to the method, the dimensionality of the input feature vector and the number of samples required by network training are reduced, the complexity of direction finding model training is reduced, and meanwhile, the advantage of model e</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>2024</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=20240507&DB=EPODOC&CC=CN&NR=117991178A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240507&DB=EPODOC&CC=CN&NR=117991178A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIU SIRUI</creatorcontrib><creatorcontrib>XIANG KUNZHONG</creatorcontrib><creatorcontrib>ZHU SHOUZHONG</creatorcontrib><creatorcontrib>ZHENG JIE</creatorcontrib><creatorcontrib>XIONG HAILIANG</creatorcontrib><creatorcontrib>WANG XIAOPING</creatorcontrib><creatorcontrib>LIU WENGUO</creatorcontrib><creatorcontrib>ZHONG QINGLIAN</creatorcontrib><title>High-precision array direction finding method and system based on data driving</title><description>The invention relates to the field of electronic countermeasures, in particular to a high-precision array direction-finding method and system based on data driving, and the method comprises the steps: firstly analyzing the characteristics of an array output covariance matrix under the condition of a single-signal incident uniform linear array, extracting the input characteristics with small redundancy, and constructing an intelligent array direction-finding frame in combination with a convolutional neural network; then, based on independent component analysis, a multi-signal direction finding problem is converted into a single-signal direction finding problem, and the incoming wave direction of each signal is estimated one by one by using a single-signal trained network; according to the method, the dimensionality of the input feature vector and the number of samples required by network training are reduced, the complexity of direction finding model training is reduced, and meanwhile, the advantage of model e</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>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPDzyEzP0C0oSk3OLM7Mz1NILCpKrFRIyQQKlID4aZl5KZl56Qq5qSUZ-SkKiXkpCsWVxSWpuQpJicWpKQpAJSmJJYkKKUWZZUB1PAysaYk5xam8UJqbQdHNNcTZQze1ID8-tbggMTk1L7Uk3tnP0NDc0hJIWDgaE6MGABQSNoc</recordid><startdate>20240507</startdate><enddate>20240507</enddate><creator>LIU SIRUI</creator><creator>XIANG KUNZHONG</creator><creator>ZHU SHOUZHONG</creator><creator>ZHENG JIE</creator><creator>XIONG HAILIANG</creator><creator>WANG XIAOPING</creator><creator>LIU WENGUO</creator><creator>ZHONG QINGLIAN</creator><scope>EVB</scope></search><sort><creationdate>20240507</creationdate><title>High-precision array direction finding method and system based on data driving</title><author>LIU SIRUI ; XIANG KUNZHONG ; ZHU SHOUZHONG ; ZHENG JIE ; XIONG HAILIANG ; WANG XIAOPING ; LIU WENGUO ; ZHONG QINGLIAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117991178A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</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>LIU SIRUI</creatorcontrib><creatorcontrib>XIANG KUNZHONG</creatorcontrib><creatorcontrib>ZHU SHOUZHONG</creatorcontrib><creatorcontrib>ZHENG JIE</creatorcontrib><creatorcontrib>XIONG HAILIANG</creatorcontrib><creatorcontrib>WANG XIAOPING</creatorcontrib><creatorcontrib>LIU WENGUO</creatorcontrib><creatorcontrib>ZHONG QINGLIAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LIU SIRUI</au><au>XIANG KUNZHONG</au><au>ZHU SHOUZHONG</au><au>ZHENG JIE</au><au>XIONG HAILIANG</au><au>WANG XIAOPING</au><au>LIU WENGUO</au><au>ZHONG QINGLIAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>High-precision array direction finding method and system based on data driving</title><date>2024-05-07</date><risdate>2024</risdate><abstract>The invention relates to the field of electronic countermeasures, in particular to a high-precision array direction-finding method and system based on data driving, and the method comprises the steps: firstly analyzing the characteristics of an array output covariance matrix under the condition of a single-signal incident uniform linear array, extracting the input characteristics with small redundancy, and constructing an intelligent array direction-finding frame in combination with a convolutional neural network; then, based on independent component analysis, a multi-signal direction finding problem is converted into a single-signal direction finding problem, and the incoming wave direction of each signal is estimated one by one by using a single-signal trained network; according to the method, the dimensionality of the input feature vector and the number of samples required by network training are reduced, the complexity of direction finding model training is reduced, and meanwhile, the advantage of model e</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN117991178A |
| source | esp@cenet |
| 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 | High-precision array direction finding method and system based on data driving |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T13%3A45%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=LIU%20SIRUI&rft.date=2024-05-07&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117991178A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |