{"id":"https://openalex.org/W7118842988","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310628","title":"Automatic Modulation Recognition Based on Feature Fusion in Impulsive Noise Environment","display_name":"Automatic Modulation Recognition Based on Feature Fusion in Impulsive Noise Environment","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7118842988","doi":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310628"},"language":null,"primary_location":{"id":"doi:10.1109/vtc2025-fall65116.2025.11310628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","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/A5061157056","display_name":"Pengwu Wan","orcid":"https://orcid.org/0000-0002-6118-4291"},"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":"Pengwu Wan","raw_affiliation_strings":["Xi&#x2019;an University of Posts &#x0026; Telecommunications,Xi&#x2019;an,China,710121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts &#x0026; Telecommunications,Xi&#x2019;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114233308","display_name":"Siying Kang","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":"Siying Kang","raw_affiliation_strings":["Xi&#x2019;an University of Posts &#x0026; Telecommunications,Xi&#x2019;an,China,710121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts &#x0026; Telecommunications,Xi&#x2019;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122181971","display_name":"Xiaolin Dong","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":"Xiaolin Dong","raw_affiliation_strings":["Xi&#x2019;an University of Posts &#x0026; Telecommunications,Xi&#x2019;an,China,710121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts &#x0026; Telecommunications,Xi&#x2019;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122116757","display_name":"Chenchen Duan","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":"Chenchen Duan","raw_affiliation_strings":["Xi&#x2019;an University of Posts &#x0026; Telecommunications,Xi&#x2019;an,China,710121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts &#x0026; Telecommunications,Xi&#x2019;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122006474","display_name":"Jin Wang","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":"Jin Wang","raw_affiliation_strings":["Xi&#x2019;an University of Posts &#x0026; Telecommunications,Xi&#x2019;an,China,710121"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts &#x0026; Telecommunications,Xi&#x2019;an,China,710121","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9915000200271606,"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":0.9915000200271606,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11873","display_name":"PAPR reduction in OFDM","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/noise","display_name":"Noise (video)","score":0.5831000208854675},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4997999966144562},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4821999967098236},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46639999747276306},{"id":"https://openalex.org/keywords/demodulation","display_name":"Demodulation","score":0.460999995470047},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.4169999957084656},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.41269999742507935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4034000039100647},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.40130001306533813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6378999948501587},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5831000208854675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5073999762535095},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4997999966144562},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46639999747276306},{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.460999995470047},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.4169999957084656},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4034000039100647},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.40130001306533813},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34529998898506165},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C11930861","wikidata":"https://www.wikidata.org/wiki/Q181417","display_name":"Frequency modulation","level":3,"score":0.32030001282691956},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.311599999666214},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.30820000171661377},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.2840000092983246},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.28029999136924744},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2025-fall65116.2025.11310628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-fall65116.2025.11310628","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2165698076","https://openalex.org/W2294292751","https://openalex.org/W2917006683","https://openalex.org/W3011724393","https://openalex.org/W3021284771","https://openalex.org/W3095404110","https://openalex.org/W3115442212","https://openalex.org/W3194170296","https://openalex.org/W3213410040","https://openalex.org/W4286255690","https://openalex.org/W4320713356","https://openalex.org/W4328027781","https://openalex.org/W4387914700","https://openalex.org/W4392822940","https://openalex.org/W4403123920","https://openalex.org/W4403182129","https://openalex.org/W4405598869"],"related_works":[],"abstract_inverted_index":{"Automatic":[0],"modulation":[1,142],"recognition":[2,138],"(AMR)":[3],"is":[4,72,94,121,144,165],"a":[5,150],"critical":[6],"step":[7],"before":[8],"signal":[9,87,93],"demodulation":[10],"in":[11,23,33,88,129],"wireless":[12,28,92],"communications.":[13],"Most":[14],"of":[15,50,84,140,155,161],"the":[16,21,69,81,85,91,97,106,137,159,162],"current":[17],"studies":[18],"focus":[19],"on":[20,54,102,113],"AMR":[22,61,128],"Gaussian":[24],"noise":[25,66,131],"environment,":[26,67],"but":[27],"channels,":[29],"such":[30],"as":[31],"those":[32],"unmanned":[34],"aerial":[35],"vehicle":[36],"(UAV)":[37],"communications,":[38],"often":[39],"contain":[40],"impulsive":[41,65,76,130],"noise,":[42],"which":[43],"can":[44],"cause":[45],"significant":[46],"degradation":[47],"or":[48],"failure":[49],"traditional":[51],"algorithms.":[52],"Based":[53],"this,":[55],"this":[56],"paper":[57],"proposes":[58],"an":[59],"intelligent":[60],"model":[62,120],"designed":[63],"for":[64,123],"where":[68],"alpha-stable":[70],"distribution":[71],"introduced":[73],"to":[74,126],"construct":[75],"noise.":[77],"To":[78],"fully":[79],"utilize":[80],"feature":[82,124],"information":[83],"original":[86],"different":[89],"domains,":[90],"transformed":[95],"into":[96],"Cauchy-score":[98],"constellation":[99],"(CASCOST)":[100],"based":[101,112],"amplitude-phase":[103],"features":[104],"and":[105,158],"hyperbolic":[107],"tangent":[108],"cyclic":[109],"spectrum":[110],"(HTCS)":[111],"frequency":[114],"domain":[115],"features.":[116],"An":[117],"improved":[118],"ResNet152":[119],"adopted":[122],"fusion":[125],"achieve":[127],"environment.":[132],"Simulation":[133],"experiments":[134],"show":[135],"that":[136],"accuracy":[139],"all":[141],"types":[143],"about":[145],"more":[146],"than":[147],"90%":[148],"at":[149],"generalized":[151],"signal-to-noise":[152],"ratio":[153],"(GSNR)":[154],"6":[156],"dB":[157],"effectiveness":[160],"proposed":[163],"method":[164],"verified":[166],"by":[167],"comparing":[168],"with":[169],"other":[170],"methods.":[171]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-08T00:00:00"}
