{"id":"https://openalex.org/W4285126180","doi":"https://doi.org/10.1109/lsp.2022.3179958","title":"A New Deep Learning Framework for HF Signal Detection in Wideband Spectrogram","display_name":"A New Deep Learning Framework for HF Signal Detection in Wideband Spectrogram","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285126180","doi":"https://doi.org/10.1109/lsp.2022.3179958"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3179958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3179958","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5067846236","display_name":"Weihao Li","orcid":"https://orcid.org/0000-0002-1443-8148"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihao Li","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-1443-8148","affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101714495","display_name":"Keren Wang","orcid":"https://orcid.org/0000-0002-5846-7119"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keren Wang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, China","National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu 610041, China"],"raw_orcid":"https://orcid.org/0000-0002-5846-7119","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, China","institution_ids":[]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu 610041, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ling You","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling You","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, China","National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu 610041, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, China","institution_ids":[]},{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu 610041, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101706871","display_name":"Zhitao Huang","orcid":"https://orcid.org/0000-0001-7135-5181"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitao Huang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":22.8854,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.99264429,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"1342","last_page":"1346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9988999962806702,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9986000061035156,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.9125456213951111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7423407435417175},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.7181764841079712},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.701253354549408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6474286317825317},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5973592400550842},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5842269062995911},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5119572877883911},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.502450704574585},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4695264399051666},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4524116516113281},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.43404027819633484},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4145541787147522},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38879886269569397},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.18324708938598633},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13840925693511963},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11467912793159485},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11072289943695068}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.9125456213951111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423407435417175},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.7181764841079712},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.701253354549408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6474286317825317},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5973592400550842},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5842269062995911},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5119572877883911},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.502450704574585},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4695264399051666},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4524116516113281},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.43404027819633484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4145541787147522},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38879886269569397},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.18324708938598633},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13840925693511963},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11467912793159485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11072289943695068},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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:10.1109/lsp.2022.3179958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3179958","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4099999964237213,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2037227137","https://openalex.org/W2765733655","https://openalex.org/W2804075771","https://openalex.org/W2907930484","https://openalex.org/W2950473406","https://openalex.org/W2963351448","https://openalex.org/W2963539768","https://openalex.org/W2966932878","https://openalex.org/W2974861210","https://openalex.org/W2984251808","https://openalex.org/W3012573144","https://openalex.org/W3017995847","https://openalex.org/W3162184162"],"related_works":["https://openalex.org/W2970686063","https://openalex.org/W2922421953","https://openalex.org/W3002270006","https://openalex.org/W2883677709","https://openalex.org/W2782964878","https://openalex.org/W2754428891","https://openalex.org/W4281560450","https://openalex.org/W2033402270","https://openalex.org/W4285126180","https://openalex.org/W4281615104"],"abstract_inverted_index":{"Detection":[0],"of":[1,33,41,91,105,111,125,144],"high":[2],"frequency":[3,85,97],"(HF)":[4],"signal":[5,34,126,137],"in":[6,27,149],"the":[7,12,31,47,66,80,92,95,99,106,109,122,142,145],"wideband":[8,28],"is":[9,15],"challenging":[10],"since":[11],"HF":[13],"environment":[14],"chaotic.":[16],"Recent":[17],"works":[18],"adopt":[19],"deep":[20,49,73],"learning-based":[21,50],"object":[22,43],"detectors":[23,51],"to":[24,52,121],"capture":[25],"signals":[26],"spectrogram,":[29],"but":[30],"task":[32,67],"detection":[35],"exhibits":[36],"different":[37],"characteristics":[38,90],"from":[39],"that":[40],"generic":[42],"detection,":[44],"which":[45,76,119],"causes":[46],"classical":[48],"have":[53],"defects":[54],"such":[55],"as":[56],"limited":[57],"receptive":[58],"field":[59],"and":[60,87,98,115,151],"prior":[61,117],"anchor":[62,118],"mismatch.":[63],"Based":[64],"on":[65,135],"analysis,":[68],"this":[69],"letter":[70],"proposes":[71],"a":[72,128],"learning":[74],"framework":[75,107,147],"extracts":[77],"features":[78,114],"along":[79],"time":[81,113],"axis":[82],"at":[83],"each":[84],"bin,":[86],"predicts":[88],"multiple":[89],"signal,":[93],"including":[94],"center":[96],"shape":[100,124],"attributes.":[101],"The":[102,132],"unique":[103],"advantages":[104],"are":[108],"utilization":[110],"all":[112],"no":[116],"adapt":[120],"slender":[123],"with":[127],"strong":[129],"generalization":[130],"ability.":[131],"numerical":[133],"studies":[134],"simulation":[136],"+":[138],"real-world":[139],"background":[140],"prove":[141],"superiority":[143],"proposed":[146],"both":[148],"accuracy":[150],"speed.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
