{"id":"https://openalex.org/W4408325632","doi":"https://doi.org/10.1109/globecom52923.2024.10901396","title":"Multi-Modal Feature Map Fusion Based Jamming Recognition","display_name":"Multi-Modal Feature Map Fusion Based Jamming Recognition","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4408325632","doi":"https://doi.org/10.1109/globecom52923.2024.10901396"},"language":"en","primary_location":{"id":"doi:10.1109/globecom52923.2024.10901396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","raw_type":"proceedings-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/A5100716826","display_name":"Lan Du","orcid":"https://orcid.org/0000-0001-7326-9666"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liusiyang Du","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Service Networks,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Service Networks,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100632499","display_name":"Danyang Wang","orcid":"https://orcid.org/0000-0001-6930-5628"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danyang Wang","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Service Networks,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Service Networks,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697315","display_name":"Zan Li","orcid":"https://orcid.org/0000-0002-5207-6504"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zan Li","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Service Networks,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Service Networks,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453144","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-5378-6404"},"institutions":[{"id":"https://openalex.org/I2800999641","display_name":"Xinjiang Astronomical Observatory","ror":"https://ror.org/01pjxkf30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2800999641","https://openalex.org/I4210164580"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["Chinese Academy of Sciences,Xinjiang Astronomical Observatory,Urumqi,China,830011"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Xinjiang Astronomical Observatory,Urumqi,China,830011","institution_ids":["https://openalex.org/I2800999641","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441352","display_name":"Chenxi Li","orcid":"https://orcid.org/0000-0002-9106-8048"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Li","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Service Networks,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Service Networks,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009796023","display_name":"Jiangbo Si","orcid":"https://orcid.org/0000-0002-7419-4042"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbo Si","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Service Networks,Xi’an,China,710071"],"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Service Networks,Xi’an,China,710071","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100716826"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25136899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4220","last_page":"4225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.7093999981880188,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12740","display_name":"Gait Recognition and Analysis","score":0.7093999981880188,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.6549000144004822,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.6255000233650208,"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/jamming","display_name":"Jamming","score":0.753899872303009},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.7090938687324524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913390159606934},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5936932563781738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5812269449234009},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5371502041816711},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5271298885345459},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4761545658111572}],"concepts":[{"id":"https://openalex.org/C2779079576","wikidata":"https://www.wikidata.org/wiki/Q17092823","display_name":"Jamming","level":2,"score":0.753899872303009},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7090938687324524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913390159606934},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5936932563781738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5812269449234009},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5371502041816711},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5271298885345459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4761545658111572},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom52923.2024.10901396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom52923.2024.10901396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2018653837","https://openalex.org/W2084779960","https://openalex.org/W2539166773","https://openalex.org/W2560533888","https://openalex.org/W2765492968","https://openalex.org/W3023318489","https://openalex.org/W3032566731","https://openalex.org/W3036403386","https://openalex.org/W3123920590","https://openalex.org/W3128120936","https://openalex.org/W3163664793","https://openalex.org/W3164063707","https://openalex.org/W3192963845","https://openalex.org/W3208729888","https://openalex.org/W4313015639","https://openalex.org/W4313140010"],"related_works":["https://openalex.org/W1984793747","https://openalex.org/W4312547492","https://openalex.org/W3197729047","https://openalex.org/W3016692377","https://openalex.org/W1624160917","https://openalex.org/W2370486284","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Jamming":[0,154],"recognition":[1,50,148],"plays":[2],"a":[3,43,80],"pivotal":[4],"role":[5],"in":[6,26,53],"anti-jamming":[7,13],"communication":[8],"system,":[9],"ensuring":[10],"an":[11,146],"effective":[12],"strategy":[14],"can":[15,35],"be":[16],"given":[17],"quickly.":[18],"Because":[19],"the":[20,31,37,85,89,93,97,104,109,126,129,134,142,153],"characteristics":[21,32],"of":[22,33,39,74,88,96,107,113,128,150],"jamming":[23,34,40,49,75],"are":[24,100],"manifested":[25],"multiple":[27],"domains,":[28],"fully":[29],"extracting":[30],"improve":[36],"accuracy":[38],"recognition.":[41],"Therefore,":[42],"multi-modal":[44],"feature":[45,110,136],"extraction":[46],"network":[47,57,117],"for":[48],"is":[51,119,131],"constructed":[52],"this":[54],"paper.":[55],"The":[56],"leverages":[58],"both":[59],"time-frequency":[60,63,90],"diagram":[61,69,91],"containing":[62,70],"domain":[64,72],"information":[65,73],"and":[66,92,124],"cyclic":[67,98],"spectrum":[68,99],"frequency":[71],"as":[76,133],"inputs.":[77],"By":[78],"designing":[79],"multi-scale":[81],"convolutional":[82],"neural":[83],"network,":[84],"long-range":[86],"dependencies":[87],"fine":[94],"features":[95],"captured.":[101],"To":[102],"ensure":[103],"full":[105],"fusion":[106],"features,":[108],"map":[111],"matrix":[112],"each":[114],"channel":[115],"after":[116],"processing":[118],"subjected":[120],"to":[121,155],"Hadamard":[122],"product,":[123],"then":[125],"sum":[127],"results":[130,139],"averaged":[132],"final":[135],"vector.":[137],"Simulation":[138],"demonstrate":[140],"that":[141],"proposed":[143],"method":[144],"achieves":[145],"average":[147],"rate":[149],"99.5%":[151],"when":[152],"Signal":[156],"Ratio":[157],"(JSR)":[158],"exceeds":[159],"0dB.":[160]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}