{"id":"https://openalex.org/W4399658491","doi":"https://doi.org/10.1145/3641584.3641688","title":"Research on non-linear blind source separation multi-interference recognition scheme based on GRU neural network","display_name":"Research on non-linear blind source separation multi-interference recognition scheme based on GRU neural network","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4399658491","doi":"https://doi.org/10.1145/3641584.3641688"},"language":"en","primary_location":{"id":"doi:10.1145/3641584.3641688","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","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/A5102758627","display_name":"Xing Liu","orcid":"https://orcid.org/0009-0007-6514-9614"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xing Liu","raw_affiliation_strings":["Xi`an University of Posts &amp; Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Xi`an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700741","display_name":"Guang Yang","orcid":"https://orcid.org/0000-0002-9726-7742"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Yang","raw_affiliation_strings":["Xi`an University of Posts &amp; Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Xi`an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055650181","display_name":"Min Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Nie","raw_affiliation_strings":["Xi`an University of Posts &amp; Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Xi`an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102758627"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25533646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"707","last_page":"713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/blind-signal-separation","display_name":"Blind signal separation","score":0.808781623840332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7015409469604492},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6079896092414856},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6000086665153503},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.598336935043335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43890661001205444},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41826942563056946},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38583898544311523},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1529465913772583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1165023148059845}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.808781623840332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7015409469604492},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6079896092414856},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6000086665153503},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.598336935043335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43890661001205444},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41826942563056946},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38583898544311523},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1529465913772583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1165023148059845},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641584.3641688","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3641584.3641688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","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":7,"referenced_works":["https://openalex.org/W1790748249","https://openalex.org/W2037091138","https://openalex.org/W2141224535","https://openalex.org/W2756684097","https://openalex.org/W3124794156","https://openalex.org/W4234134980","https://openalex.org/W6962501405"],"related_works":["https://openalex.org/W2383482627","https://openalex.org/W2392054573","https://openalex.org/W2162758065","https://openalex.org/W2997589526","https://openalex.org/W4289145503","https://openalex.org/W2099940608","https://openalex.org/W2889447638","https://openalex.org/W2387756483","https://openalex.org/W2170833027","https://openalex.org/W2390344110"],"abstract_inverted_index":{"In":[0,50],"an":[1,55],"increasingly":[2],"complex":[3],"electromagnetic":[4],"environment,":[5],"GNSS":[6],"receivers":[7],"are":[8],"subject":[9],"to":[10,128,141],"mixed":[11,36,93],"signal":[12,64,67],"interference":[13,66,94,101,140],"and":[14,65,76,78,88,96,98,109],"the":[15,20,26,32,35,39,59,62,81,104,112,122],"non-linear":[16],"distortion":[17],"present":[18],"in":[19],"receiver":[21],"itself,":[22],"which":[23],"seriously":[24],"affects":[25],"true":[27],"satellite":[28],"signal.":[29,142],"By":[30],"achieving":[31,132],"identification":[33,99],"of":[34,41,58,61,92,100,106,114,124,139],"interfering":[37,42,125],"signals,":[38],"impact":[40],"signals":[43,95,126],"can":[44],"be":[45],"effectively":[46],"reduced":[47],"or":[48],"avoided.":[49],"this":[51],"paper,":[52],"based":[53],"on":[54],"in-depth":[56],"study":[57],"problems":[60],"target":[63],"mixing":[68],"model":[69],"selection,":[70],"feature":[71,107],"extraction":[72],"methods,":[73],"classifier":[74],"selection":[75],"training,":[77],"performance":[79],"evaluation,":[80],"problem":[82],"is":[83],"decomposed":[84],"into":[85],"two":[86],"sequential":[87],"progressive":[89],"steps:":[90],"separation":[91],"classification":[97],"signals.":[102],"Incorporating":[103],"ideas":[105],"engineering":[108],"deep":[110],"learning,":[111],"use":[113],"Gated":[115],"Recurrent":[116],"Unit":[117],"(GRU)":[118],"neural":[119,130],"networks":[120],"improves":[121],"recognition":[123],"compared":[127],"conventional":[129],"networks,":[131],"96%":[133],"accuracy":[134],"at":[135],"a":[136],"10dB":[137],"ratio":[138]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
