{"id":"https://openalex.org/W4388040718","doi":"https://doi.org/10.1109/pimrc56721.2023.10293787","title":"Selective Kernel Fusion Complex-Valued CNN for Modulation Recognition","display_name":"Selective Kernel Fusion Complex-Valued CNN for Modulation Recognition","publication_year":2023,"publication_date":"2023-09-05","ids":{"openalex":"https://openalex.org/W4388040718","doi":"https://doi.org/10.1109/pimrc56721.2023.10293787"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc56721.2023.10293787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc56721.2023.10293787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101751069","display_name":"Hongji Yang","orcid":"https://orcid.org/0000-0001-6561-3631"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongji Yang","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics,Beijing,China","School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732087","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-2168-9674"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics,Beijing,China","School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091510097","display_name":"Tianyu Zhao","orcid":"https://orcid.org/0000-0003-4784-5919"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Zhao","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics,Beijing,China","School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101691325","display_name":"Wancheng Zhang","orcid":"https://orcid.org/0000-0002-2039-6431"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wancheng Zhang","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics,Beijing,China","School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100334004","display_name":"Zunwen He","orcid":"https://orcid.org/0000-0002-5584-4855"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunwen He","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics,Beijing,China","School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.6534,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69660128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"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":1.0,"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":1.0,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9054999947547913,"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/computer-science","display_name":"Computer science","score":0.72797691822052},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6631316542625427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6333650946617126},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6174299716949463},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5779234170913696},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5512307286262512},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5459898114204407},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4904941916465759},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4627329111099243},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4192357659339905},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4144507050514221},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11326479911804199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72797691822052},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6631316542625427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6333650946617126},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6174299716949463},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5779234170913696},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5512307286262512},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5459898114204407},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4904941916465759},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4627329111099243},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4192357659339905},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4144507050514221},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11326479911804199},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc56721.2023.10293787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc56721.2023.10293787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2072550346","https://openalex.org/W2104885797","https://openalex.org/W2149148820","https://openalex.org/W2272847350","https://openalex.org/W2549139847","https://openalex.org/W2603396821","https://openalex.org/W2773170971","https://openalex.org/W2922509574","https://openalex.org/W2961742849","https://openalex.org/W3032977069","https://openalex.org/W3038716110","https://openalex.org/W3044062942","https://openalex.org/W3101503122","https://openalex.org/W3160024890","https://openalex.org/W3168231499","https://openalex.org/W4281398852","https://openalex.org/W4285238813","https://openalex.org/W4312450940","https://openalex.org/W4312877383","https://openalex.org/W6784319580","https://openalex.org/W6917408469"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2964954556","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W4380302312","https://openalex.org/W3008689640","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"Automatic":[0],"modulation":[1],"recognition":[2,52],"(AMR)":[3],"plays":[4],"an":[5],"essential":[6],"role":[7],"in":[8,27],"intelligent":[9],"communication":[10],"networks":[11],"monitoring,":[12],"management,":[13],"and":[14,98,119],"optimization.":[15],"Recently,":[16],"it":[17],"has":[18],"been":[19],"shown":[20],"that":[21,147],"deep":[22],"learning-based":[23],"methods":[24,32],"perform":[25],"well":[26],"AMR.":[28,49],"However,":[29],"most":[30],"existing":[31,153],"are":[33,44,101,123],"based":[34],"on":[35,142],"real-valued":[36,91],"networks,":[37],"e.g.,":[38],"convolution":[39,66,83,92,121],"neural":[40,67],"network":[41,68],"(CNN),":[42],"which":[43],"not":[45],"specifically":[46],"designed":[47],"for":[48,70,84,93,134],"Thus,":[50],"the":[51,71,74,130,135,138,143,148,152],"performance":[53],"is":[54],"limited.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"propose":[60],"a":[61,105,116],"selective":[62,106],"kernel":[63,107],"fusion":[64],"complex-valued":[65,82,96,154],"(SKF-CCNN)":[69],"fulfillment":[72],"of":[73,113,137],"AMR":[75],"task.":[76],"The":[77,95],"proposed":[78,149],"method":[79,150],"uses":[80],"parallel":[81],"raw":[85],"in-phase/quadrature":[86],"(I/Q)":[87],"sequence":[88],"together":[89],"with":[90],"amplitude.":[94],"features":[97,100],"amplitude":[99],"then":[102],"fused":[103,131],"by":[104],"block":[108,118],"to":[109,125],"combine":[110],"all":[111],"sorts":[112],"information.":[114],"Lastly,":[115],"ResNeXt":[117],"two":[120],"layers":[122],"employed":[124],"extract":[126],"further":[127],"information":[128],"from":[129],"feature":[132],"map":[133],"task":[136],"final":[139],"classification.":[140],"Experiments":[141],"benchmark":[144],"dataset":[145],"show":[146],"outperforms":[151],"methods,":[155],"especially":[156],"at":[157],"high":[158],"SNRs.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}