{"id":"https://openalex.org/W3125610882","doi":"https://doi.org/10.1109/globecom42002.2020.9322442","title":"Waveform Classification in Radar-Communications Coexistence Scenarios","display_name":"Waveform Classification in Radar-Communications Coexistence Scenarios","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3125610882","doi":"https://doi.org/10.1109/globecom42002.2020.9322442","mag":"3125610882"},"language":"en","primary_location":{"id":"doi:10.1109/globecom42002.2020.9322442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9322442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.aalto.fi/en/publications/277a9709-eb48-4dd9-a7dc-09141d7a3478","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065104133","display_name":"Gyuyeol Kong","orcid":"https://orcid.org/0000-0002-6490-0281"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Gyuyeol Kong","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042813079","display_name":"Minchae Jung","orcid":"https://orcid.org/0000-0001-6013-042X"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minchae Jung","raw_affiliation_strings":["Wireless@VT, Virginia Tech, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless@VT, Virginia Tech, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105267090","display_name":"Visa Koivunen","orcid":"https://orcid.org/0000-0003-1454-5928"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Visa Koivunen","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":19,"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":0.9998999834060669,"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":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9980999827384949,"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/waveform","display_name":"Waveform","score":0.7253825068473816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6804236173629761},{"id":"https://openalex.org/keywords/subcarrier","display_name":"Subcarrier","score":0.6585676074028015},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5825063586235046},{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"Quadrature amplitude modulation","score":0.5673819184303284},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.5370214581489563},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.5083853602409363},{"id":"https://openalex.org/keywords/qam","display_name":"QAM","score":0.4987833499908447},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4977850914001465},{"id":"https://openalex.org/keywords/frequency-modulation","display_name":"Frequency modulation","score":0.4242274761199951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3989963233470917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37351667881011963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3691929280757904},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.30463629961013794},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.19081339240074158},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18666672706604004},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.11458569765090942},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.10389235615730286}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.7253825068473816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6804236173629761},{"id":"https://openalex.org/C198329298","wikidata":"https://www.wikidata.org/wiki/Q586358","display_name":"Subcarrier","level":4,"score":0.6585676074028015},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5825063586235046},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.5673819184303284},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.5370214581489563},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.5083853602409363},{"id":"https://openalex.org/C59030546","wikidata":"https://www.wikidata.org/wiki/Q7265371","display_name":"QAM","level":5,"score":0.4987833499908447},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4977850914001465},{"id":"https://openalex.org/C11930861","wikidata":"https://www.wikidata.org/wiki/Q181417","display_name":"Frequency modulation","level":3,"score":0.4242274761199951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3989963233470917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37351667881011963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3691929280757904},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.30463629961013794},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.19081339240074158},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18666672706604004},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.11458569765090942},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.10389235615730286},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom42002.2020.9322442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9322442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/103384","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/277a9709-eb48-4dd9-a7dc-09141d7a3478","pdf_url":null,"source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/103384","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/277a9709-eb48-4dd9-a7dc-09141d7a3478","pdf_url":null,"source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2046478876","https://openalex.org/W2088869937","https://openalex.org/W2096710051","https://openalex.org/W2141224535","https://openalex.org/W2142638745","https://openalex.org/W2153816607","https://openalex.org/W2166764037","https://openalex.org/W2531162019","https://openalex.org/W2555378055","https://openalex.org/W2741342598","https://openalex.org/W2773170971","https://openalex.org/W2781731889","https://openalex.org/W2964121744","https://openalex.org/W2973318093","https://openalex.org/W2998755892","https://openalex.org/W3012021401","https://openalex.org/W3035020217","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W1501039677","https://openalex.org/W3161598161","https://openalex.org/W2306672848","https://openalex.org/W2128552819","https://openalex.org/W2166250390","https://openalex.org/W2055131418","https://openalex.org/W4291701075","https://openalex.org/W4390873927","https://openalex.org/W2147334234","https://openalex.org/W2159438609"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"the":[3,75,113,119,124],"problem":[4],"of":[5,81,105,123],"recognizing":[6],"waveform":[7,26,72],"and":[8,15,57,83,107,109],"modulation":[9,89,139],"is":[10,32,38,55,94,100],"addressed":[11],"in":[12],"radar-communications":[13],"coexistence":[14],"shared":[16],"spectrum":[17],"scenarios.":[18],"We":[19],"propose":[20],"a":[21,63],"deep":[22],"learning":[23],"method":[24,126],"for":[25,92,128],"classification.":[27],"A":[28],"hierarchical":[29],"recognition":[30],"approach":[31],"employed.":[33],"The":[34,88],"received":[35],"complex-valued":[36],"signal":[37],"first":[39],"classified":[40],"to":[41,62,102],"single":[42],"carrier":[43],"radar,":[44],"communication":[45],"or":[46],"multicarrier":[47,69],"waveforms.":[48],"Fourier":[49],"synchrosqueezing":[50],"transformation":[51],"(FSST)":[52],"time-frequency":[53],"representation":[54],"computed":[56],"used":[58,91,101],"as":[59],"an":[60],"input":[61],"convolutional":[64],"neural":[65],"network":[66],"(CNN).":[67],"For":[68],"signals,":[70],"key":[71],"parameters":[73],"including":[74],"cyclic":[76],"prefix":[77],"(CP)":[78],"duration,":[79],"number":[80],"subcarriers":[82,93],"subcarrier":[84],"spacing":[85],"are":[86],"estimated.":[87],"type":[90],"recognized.":[95],"Independent":[96],"component":[97],"analysis":[98],"(ICA)":[99],"enforce":[103],"independence":[104],"I-":[106],"Q-components,":[108],"consequently":[110],"significantly":[111],"improving":[112],"classification":[114,121],"performance.":[115],"Simulation":[116],"results":[117],"demonstrate":[118],"high":[120],"performance":[122],"proposed":[125],"even":[127],"orthogonal":[129],"frequency":[130],"division":[131],"multiplexing":[132],"(OFDM)":[133],"signals":[134],"with":[135],"high-order":[136],"quadrature":[137],"amplitude":[138],"(QAM).":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}