{"id":"https://openalex.org/W4415398331","doi":"https://doi.org/10.1109/spml66318.2025.11199811","title":"Multi-Channel Modulation Recognition Method Based on Self-Supervised Multi-Scale Feature Fusion and Channel Awareness","display_name":"Multi-Channel Modulation Recognition Method Based on Self-Supervised Multi-Scale Feature Fusion and Channel Awareness","publication_year":2025,"publication_date":"2025-07-15","ids":{"openalex":"https://openalex.org/W4415398331","doi":"https://doi.org/10.1109/spml66318.2025.11199811"},"language":null,"primary_location":{"id":"doi:10.1109/spml66318.2025.11199811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spml66318.2025.11199811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 8th International Conference on Signal Processing and Machine Learning (SPML)","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/A5005764893","display_name":"Dan Bo","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Bo","raw_affiliation_strings":["Inner Mongolia University,College of Electronic Information Engineering,Hohhot,China,010021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,College of Electronic Information Engineering,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017011703","display_name":"K. Wang","orcid":"https://orcid.org/0000-0001-6391-3286"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wang","raw_affiliation_strings":["Inner Mongolia University,College of Electronic Information Engineering,Hohhot,China,010021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,College of Electronic Information Engineering,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113698298","display_name":"S. Wang","orcid":"https://orcid.org/0009-0009-0790-7274"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shubin Wang","raw_affiliation_strings":["Inner Mongolia University,College of Electronic Information Engineering,Hohhot,China,010021"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,College of Electronic Information Engineering,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9711999893188477,"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":0.9711999893188477,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7621999979019165},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.692300021648407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6305000185966492},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5932999849319458},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.506600022315979},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4657000005245209},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.4074999988079071}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7621999979019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7150999903678894},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.692300021648407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6578999757766724},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6305000185966492},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5932999849319458},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.506600022315979},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4657000005245209},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.4074999988079071},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3192000091075897},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.31630000472068787},{"id":"https://openalex.org/C11930861","wikidata":"https://www.wikidata.org/wiki/Q181417","display_name":"Frequency modulation","level":3,"score":0.2953999936580658},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26440000534057617}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spml66318.2025.11199811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spml66318.2025.11199811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 8th International Conference on Signal Processing and Machine Learning (SPML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G739703219","display_name":null,"funder_award_id":"62361048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Signal":[0],"modulation":[1,36],"recognition":[2,37,103],"in":[3,26,132],"multi-channel":[4,35,115],"environments":[5],"is":[6,75],"affected":[7],"by":[8,58],"factors":[9],"such":[10,27],"as":[11],"multipath":[12],"fading,":[13],"noise,":[14],"and":[15,18,65,105,113,129],"frequency":[16],"offset,":[17],"traditional":[19],"methods":[20],"often":[21],"experience":[22],"significant":[23],"performance":[24],"degradation":[25],"complex":[28,114],"scenarios.":[29],"This":[30],"paper":[31],"proposes":[32],"an":[33],"innovative":[34],"framework":[38,44],"based":[39,82],"on":[40,83,89],"self-supervised":[41,47,125],"learning.":[42],"The":[43],"first":[45],"utilizes":[46],"pretraining":[48],"to":[49,77],"learn":[50],"general":[51],"feature":[52,59,63,80],"representations":[53],"from":[54],"unlabeled":[55],"data,":[56],"followed":[57],"fusion":[60],"through":[61],"multi-scale":[62],"extraction":[64],"a":[66,71],"crosschannel":[67],"attention":[68],"module.":[69],"Finally,":[70],"channel":[72,85],"condition-aware":[73],"module":[74],"introduced":[76],"dynamically":[78],"adjust":[79],"weights":[81],"the":[84,90,98,121],"state.":[86],"Experimental":[87],"results":[88],"publicly":[91],"available":[92],"RadioML":[93],"2016.10a":[94],"dataset":[95],"show":[96],"that":[97],"proposed":[99],"method":[100],"maintains":[101],"high":[102],"accuracy":[104],"robustness":[106],"even":[107],"under":[108],"low":[109],"signal-to-noise":[110],"ratio":[111],"(SNR)":[112],"conditions.":[116],"Ablation":[117],"experiments":[118],"further":[119],"confirm":[120],"critical":[122],"role":[123],"of":[124],"pretraining,":[126],"cross-channel":[127],"attention,":[128],"channel-aware":[130],"modules":[131],"enhancing":[133],"performance.":[134]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-22T00:00:00"}
