Wireless signal perception model construction and perception method and system based on adversarial training
The invention discloses a wireless signal perception model construction and perception method and system based on adversarial training, and the method comprises the steps: collecting non-interference data and interference data, marking the non-interference data with an action classification label, 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 | ZHANG CHENG FAN TIANCI YE GUIXIN TANG ZHANYONG TONG WEIYUAN FANG DINGYI |
| description | The invention discloses a wireless signal perception model construction and perception method and system based on adversarial training, and the method comprises the steps: collecting non-interference data and interference data, marking the non-interference data with an action classification label, and obtaining a data set; performing denoising and data conversion processing on the data set to obtain preprocessed interference data and interference-free data with an action classification label; training an adversarial network model by taking the interference data and the non-interference data with the action classification label as input and taking a judgment result of judging whether the interference data is interference and an action classification result as output, and obtaining a wireless signal sensing model after training is completed; and carrying out perception classification on wireless signal data to be processed by adopting the wireless signal perception model. Through adversarial training of the fea |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN112990026A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN112990026A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN112990026A3</originalsourceid><addsrcrecordid>eNqNzLEKwjAUheEuDqK-Q3wAoa0gdJSiODkJjuWaHOuF9CbkRsG3V4uLm9OBn48zLfyZEzxUjXIv5E1EsoiZg5ghOHhjg2hOdzsmEvcjkG_BjVWfmjGYCymc-Uj3QFJK_P7MiVhY-nkxuZJXLL47K5b73ak9rBBDB41kIchde6yqumnKst5s1_-YF7V2Qrs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Wireless signal perception model construction and perception method and system based on adversarial training</title><source>esp@cenet</source><creator>ZHANG CHENG ; FAN TIANCI ; YE GUIXIN ; TANG ZHANYONG ; TONG WEIYUAN ; FANG DINGYI</creator><creatorcontrib>ZHANG CHENG ; FAN TIANCI ; YE GUIXIN ; TANG ZHANYONG ; TONG WEIYUAN ; FANG DINGYI</creatorcontrib><description>The invention discloses a wireless signal perception model construction and perception method and system based on adversarial training, and the method comprises the steps: collecting non-interference data and interference data, marking the non-interference data with an action classification label, and obtaining a data set; performing denoising and data conversion processing on the data set to obtain preprocessed interference data and interference-free data with an action classification label; training an adversarial network model by taking the interference data and the non-interference data with the action classification label as input and taking a judgment result of judging whether the interference data is interference and an action classification result as output, and obtaining a wireless signal sensing model after training is completed; and carrying out perception classification on wireless signal data to be processed by adopting the wireless signal perception model. Through adversarial training of the fea</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</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=20210618&DB=EPODOC&CC=CN&NR=112990026A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210618&DB=EPODOC&CC=CN&NR=112990026A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG CHENG</creatorcontrib><creatorcontrib>FAN TIANCI</creatorcontrib><creatorcontrib>YE GUIXIN</creatorcontrib><creatorcontrib>TANG ZHANYONG</creatorcontrib><creatorcontrib>TONG WEIYUAN</creatorcontrib><creatorcontrib>FANG DINGYI</creatorcontrib><title>Wireless signal perception model construction and perception method and system based on adversarial training</title><description>The invention discloses a wireless signal perception model construction and perception method and system based on adversarial training, and the method comprises the steps: collecting non-interference data and interference data, marking the non-interference data with an action classification label, and obtaining a data set; performing denoising and data conversion processing on the data set to obtain preprocessed interference data and interference-free data with an action classification label; training an adversarial network model by taking the interference data and the non-interference data with the action classification label as input and taking a judgment result of judging whether the interference data is interference and an action classification result as output, and obtaining a wireless signal sensing model after training is completed; and carrying out perception classification on wireless signal data to be processed by adopting the wireless signal perception model. Through adversarial training of the fea</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzLEKwjAUheEuDqK-Q3wAoa0gdJSiODkJjuWaHOuF9CbkRsG3V4uLm9OBn48zLfyZEzxUjXIv5E1EsoiZg5ghOHhjg2hOdzsmEvcjkG_BjVWfmjGYCymc-Uj3QFJK_P7MiVhY-nkxuZJXLL47K5b73ak9rBBDB41kIchde6yqumnKst5s1_-YF7V2Qrs</recordid><startdate>20210618</startdate><enddate>20210618</enddate><creator>ZHANG CHENG</creator><creator>FAN TIANCI</creator><creator>YE GUIXIN</creator><creator>TANG ZHANYONG</creator><creator>TONG WEIYUAN</creator><creator>FANG DINGYI</creator><scope>EVB</scope></search><sort><creationdate>20210618</creationdate><title>Wireless signal perception model construction and perception method and system based on adversarial training</title><author>ZHANG CHENG ; FAN TIANCI ; YE GUIXIN ; TANG ZHANYONG ; TONG WEIYUAN ; FANG DINGYI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN112990026A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG CHENG</creatorcontrib><creatorcontrib>FAN TIANCI</creatorcontrib><creatorcontrib>YE GUIXIN</creatorcontrib><creatorcontrib>TANG ZHANYONG</creatorcontrib><creatorcontrib>TONG WEIYUAN</creatorcontrib><creatorcontrib>FANG DINGYI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG CHENG</au><au>FAN TIANCI</au><au>YE GUIXIN</au><au>TANG ZHANYONG</au><au>TONG WEIYUAN</au><au>FANG DINGYI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Wireless signal perception model construction and perception method and system based on adversarial training</title><date>2021-06-18</date><risdate>2021</risdate><abstract>The invention discloses a wireless signal perception model construction and perception method and system based on adversarial training, and the method comprises the steps: collecting non-interference data and interference data, marking the non-interference data with an action classification label, and obtaining a data set; performing denoising and data conversion processing on the data set to obtain preprocessed interference data and interference-free data with an action classification label; training an adversarial network model by taking the interference data and the non-interference data with the action classification label as input and taking a judgment result of judging whether the interference data is interference and an action classification result as output, and obtaining a wireless signal sensing model after training is completed; and carrying out perception classification on wireless signal data to be processed by adopting the wireless signal perception model. Through adversarial training of the fea</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN112990026A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Wireless signal perception model construction and perception method and system based on adversarial training |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T15%3A27%3A07IST&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=ZHANG%20CHENG&rft.date=2021-06-18&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN112990026A%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 |