{"id":"https://openalex.org/W4379619726","doi":"https://doi.org/10.1109/wocc58016.2023.10139664","title":"Deep Interference Recognition for Spread Spectrum Communications using Time-Frequency Transformer","display_name":"Deep Interference Recognition for Spread Spectrum Communications using Time-Frequency Transformer","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4379619726","doi":"https://doi.org/10.1109/wocc58016.2023.10139664"},"language":"en","primary_location":{"id":"doi:10.1109/wocc58016.2023.10139664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc58016.2023.10139664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100668111","display_name":"Wei Yi","orcid":"https://orcid.org/0000-0002-8880-6038"},"institutions":[{"id":"https://openalex.org/I4210146919","display_name":"Shanghai Industrial Technology Institute","ror":"https://ror.org/03j1pdd39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Wei","raw_affiliation_strings":["Shanghai Aerospace Electronic Technology Institute,Shanghai,China,201109"],"affiliations":[{"raw_affiliation_string":"Shanghai Aerospace Electronic Technology Institute,Shanghai,China,201109","institution_ids":["https://openalex.org/I4210146919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008878976","display_name":"Shangrong Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146919","display_name":"Shanghai Industrial Technology Institute","ror":"https://ror.org/03j1pdd39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shang-Rong Ou-Yang","raw_affiliation_strings":["Shanghai Aerospace Electronic Technology Institute,Shanghai,China,201109"],"affiliations":[{"raw_affiliation_string":"Shanghai Aerospace Electronic Technology Institute,Shanghai,China,201109","institution_ids":["https://openalex.org/I4210146919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695740","display_name":"Chao Li","orcid":"https://orcid.org/0000-0003-0836-2017"},"institutions":[{"id":"https://openalex.org/I4210146919","display_name":"Shanghai Industrial Technology Institute","ror":"https://ror.org/03j1pdd39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["Shanghai Aerospace Electronic Technology Institute,Shanghai,China,201109"],"affiliations":[{"raw_affiliation_string":"Shanghai Aerospace Electronic Technology Institute,Shanghai,China,201109","institution_ids":["https://openalex.org/I4210146919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011757951","display_name":"Xiaoxiao Zhuo","orcid":"https://orcid.org/0000-0002-3575-2005"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Zhuo","raw_affiliation_strings":["Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai,China,200050"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai,China,200050","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773356","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0003-1748-6409"},"institutions":[{"id":"https://openalex.org/I4210146919","display_name":"Shanghai Industrial Technology Institute","ror":"https://ror.org/03j1pdd39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210146919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Shanghai Aerospace Electronic Technology Institute,Shanghai,China,201109"],"affiliations":[{"raw_affiliation_string":"Shanghai Aerospace Electronic Technology Institute,Shanghai,China,201109","institution_ids":["https://openalex.org/I4210146919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100668111"],"corresponding_institution_ids":["https://openalex.org/I4210146919"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52956792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.7172417044639587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.704371452331543},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5784793496131897},{"id":"https://openalex.org/keywords/spread-spectrum","display_name":"Spread spectrum","score":0.5736051797866821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5666448473930359},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5321007966995239},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5050747990608215},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.49796223640441895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4715304970741272},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4657381772994995},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4546445310115814},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.41603463888168335},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.3876495957374573},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23309704661369324},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2270919680595398},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.16575631499290466},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13604986667633057},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12341633439064026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10658645629882812},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.08230581879615784},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.07308360934257507}],"concepts":[{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.7172417044639587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704371452331543},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5784793496131897},{"id":"https://openalex.org/C105344744","wikidata":"https://www.wikidata.org/wiki/Q958957","display_name":"Spread spectrum","level":3,"score":0.5736051797866821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5666448473930359},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5321007966995239},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5050747990608215},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.49796223640441895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4715304970741272},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4657381772994995},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4546445310115814},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.41603463888168335},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.3876495957374573},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23309704661369324},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2270919680595398},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.16575631499290466},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13604986667633057},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12341633439064026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10658645629882812},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.08230581879615784},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.07308360934257507},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wocc58016.2023.10139664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc58016.2023.10139664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 32nd Wireless and Optical Communications Conference (WOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1963988324","https://openalex.org/W2059346503","https://openalex.org/W2255807518","https://openalex.org/W2371551623","https://openalex.org/W2753115662","https://openalex.org/W2768988016","https://openalex.org/W2963091558","https://openalex.org/W2963542740","https://openalex.org/W2984928703","https://openalex.org/W3014097207","https://openalex.org/W3094502228","https://openalex.org/W4205866241","https://openalex.org/W4225502845","https://openalex.org/W4288365749","https://openalex.org/W4298395628","https://openalex.org/W4299802238","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6746034047","https://openalex.org/W6761451552","https://openalex.org/W6763367864","https://openalex.org/W6769955919","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2326454079","https://openalex.org/W564939545","https://openalex.org/W2533590149","https://openalex.org/W4293267999","https://openalex.org/W2560154230","https://openalex.org/W2964898233","https://openalex.org/W2029494570","https://openalex.org/W2129331087","https://openalex.org/W2539126704","https://openalex.org/W2380313808"],"abstract_inverted_index":{"Spread":[0],"spectrum":[1,30],"techniques":[2,42],"have":[3],"been":[4],"widely":[5],"adopted":[6,128],"in":[7,74,104,129],"both":[8,105],"military":[9],"and":[10,17,27,47,54,94,107,146],"commercial":[11],"communications":[12],"because":[13],"of":[14,50,61,71,77,100,125,142,156],"their":[15],"anti-interference":[16,41],"anti-interception":[18],"properties.":[19],"How-ever,":[20],"when":[21],"the":[22,28,48,51,69,75,101,110,114,119,123,134,139,143,148,154,157],"interference":[23,52,63,84],"power":[24],"is":[25,32,57,127],"high":[26],"spread":[29],"gain":[31],"not":[33],"sufficient":[34],"to":[35,44,117,132],"achieve":[36],"satisfactory":[37],"system":[38],"performance,":[39],"additional":[40],"need":[43],"be":[45],"employed,":[46],"design":[49],"sensing":[53],"recognition":[55,85,149],"method":[56,86,112,131,159],"a":[58,82],"basic":[59],"prerequisite":[60],"effective":[62],"suppression.":[64],"In":[65],"this":[66],"work,":[67],"considering":[68],"superiority":[70,155],"transformer":[72,126],"networks":[73],"field":[76],"deep":[78],"learning,":[79],"we":[80],"propose":[81],"novel":[83],"with":[87],"short":[88],"time":[89,106],"Fourier":[90],"transform":[91],"(STFT)":[92],"analysis":[93,116],"transformer.":[95],"For":[96],"making":[97],"full":[98],"use":[99],"hidden":[102],"information":[103],"frequency":[108],"domain,":[109],"proposed":[111,158],"intro-duces":[113],"STFT":[115],"extract":[118],"high-dimensional":[120],"feature.":[121],"Furthermore,":[122],"idea":[124],"our":[130],"introduce":[133],"attention":[135],"mechanism":[136],"focusing":[137],"on":[138],"time-frequency":[140],"correlation":[141],"received":[144],"signals":[145],"improve":[147],"accuracy.":[150],"Simulation":[151],"results":[152],"demonstrate":[153],"versus":[160],"other":[161],"baseline":[162],"competitors.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
