{"id":"https://openalex.org/W4323521029","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051849","title":"Fast Adaptation of Radar Detection via Online Meta-learning","display_name":"Fast Adaptation of Radar Detection via Online Meta-learning","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4323521029","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10051849"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf56349.2022.10051849","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10051849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","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/A5074933186","display_name":"Zareen Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zareen Khan","raw_affiliation_strings":["CWIP New Jersey Institute of Technology,Newark,USA","CWIP New Jersey Institute of Technology, Newark, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CWIP New Jersey Institute of Technology,Newark,USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"CWIP New Jersey Institute of Technology, Newark, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702949","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0001-5016-7229"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["CWIP New Jersey Institute of Technology,Newark,USA","CWIP New Jersey Institute of Technology, Newark, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CWIP New Jersey Institute of Technology,Newark,USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"CWIP New Jersey Institute of Technology, Newark, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111244904","display_name":"Alexander M. Haimovich","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Haimovich","raw_affiliation_strings":["CWIP New Jersey Institute of Technology,Newark,USA","CWIP New Jersey Institute of Technology, Newark, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CWIP New Jersey Institute of Technology,Newark,USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"CWIP New Jersey Institute of Technology, Newark, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055595992","display_name":"Mark A. Govoni","orcid":"https://orcid.org/0000-0002-2209-9975"},"institutions":[{"id":"https://openalex.org/I1304082316","display_name":"United States Department of the Army","ror":"https://ror.org/035w1gb98","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796"]},{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]},{"id":"https://openalex.org/I2802705668","display_name":"United States Army Combat Capabilities Development Command","ror":"https://ror.org/02rdkx920","country_code":"US","type":"other","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]},{"id":"https://openalex.org/I4210088792","display_name":"United States Army","ror":"https://ror.org/00afsp483","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I4210088792"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Govoni","raw_affiliation_strings":["U.S. Army DEVCOM Army Research Laboratory,Maryland,USA","U.S. Army DEVCOM Army Research Laboratory, Maryland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Army DEVCOM Army Research Laboratory,Maryland,USA","institution_ids":["https://openalex.org/I1304082316","https://openalex.org/I166416128","https://openalex.org/I4210088792"]},{"raw_affiliation_string":"U.S. Army DEVCOM Army Research Laboratory, Maryland, USA","institution_ids":["https://openalex.org/I2802705668","https://openalex.org/I4210088792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020840003","display_name":"Timothy J. Garner","orcid":"https://orcid.org/0000-0002-4350-0211"},"institutions":[{"id":"https://openalex.org/I1304082316","display_name":"United States Department of the Army","ror":"https://ror.org/035w1gb98","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796"]},{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]},{"id":"https://openalex.org/I2802705668","display_name":"United States Army Combat Capabilities Development Command","ror":"https://ror.org/02rdkx920","country_code":"US","type":"other","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]},{"id":"https://openalex.org/I4210088792","display_name":"United States Army","ror":"https://ror.org/00afsp483","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I4210088792"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy Garner","raw_affiliation_strings":["U.S. Army DEVCOM Army Research Laboratory,Maryland,USA","U.S. Army DEVCOM Army Research Laboratory, Maryland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Army DEVCOM Army Research Laboratory,Maryland,USA","institution_ids":["https://openalex.org/I1304082316","https://openalex.org/I166416128","https://openalex.org/I4210088792"]},{"raw_affiliation_string":"U.S. Army DEVCOM Army Research Laboratory, Maryland, USA","institution_ids":["https://openalex.org/I2802705668","https://openalex.org/I4210088792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017736224","display_name":"Osvaldo Simeone","orcid":"https://orcid.org/0000-0001-9898-3209"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Osvaldo Simeone","raw_affiliation_strings":["King's College London,Department of Engineering,London,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King's College London,Department of Engineering,London,UK","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"ii","issue":null,"first_page":"580","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9979000091552734,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.995199978351593,"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/meta-learning","display_name":"Meta learning (computer science)","score":0.8732808828353882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.797081708908081},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6871436834335327},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6788159608840942},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6325563788414001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6122131943702698},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6060481667518616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5986953377723694},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5959105491638184},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49785566329956055},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4615132808685303},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4565228819847107},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11543956398963928}],"concepts":[{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.8732808828353882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.797081708908081},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6871436834335327},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6788159608840942},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6325563788414001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6122131943702698},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6060481667518616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5986953377723694},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5959105491638184},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49785566329956055},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4615132808685303},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4565228819847107},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11543956398963928},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf56349.2022.10051849","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10051849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2850927570","display_name":null,"funder_award_id":"W911NF-20-2-0219","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1992874130","https://openalex.org/W2077811569","https://openalex.org/W2146564812","https://openalex.org/W2149628166","https://openalex.org/W2160610877","https://openalex.org/W2170366951","https://openalex.org/W2604763608","https://openalex.org/W2734408173","https://openalex.org/W2884001105","https://openalex.org/W2885033069","https://openalex.org/W2914752403","https://openalex.org/W2958079678","https://openalex.org/W2970958841","https://openalex.org/W3022312941","https://openalex.org/W3100120649","https://openalex.org/W3110675837","https://openalex.org/W3163842339","https://openalex.org/W3188936045","https://openalex.org/W4206180546","https://openalex.org/W4240925291","https://openalex.org/W4285339132","https://openalex.org/W4294646197","https://openalex.org/W6759172331","https://openalex.org/W6776331362","https://openalex.org/W6791100901"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W1679012645","https://openalex.org/W2070318884","https://openalex.org/W2011939812","https://openalex.org/W1977371217","https://openalex.org/W4390651539"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,50,53,94,101,104,113,135,156,173,177],"problem":[4],"of":[5,8,20,25,28,45,64,93,103,168,184],"continual":[6],"learning":[7,44,102,137],"radar":[9,54],"detectors":[10],"from":[11,164],"sequentially":[12],"provided":[13],"training":[14,114],"data.":[15],"Given":[16],"a":[17,26,31,34,46,57,62,84,120,161,165],"limited":[18,166],"number":[19,27,167,183],"labeled":[21,169],"samples":[22],"for":[23,117,129],"each":[24,150],"tasks":[29],"in":[30,49,109],"certain":[32],"class,":[33],"model-agnostic":[35],"meta-learning":[36],"(MAML)":[37],"approach":[38],"is":[39,59,79,97,139,145],"developed":[40],"to":[41,99],"enable":[42],"few-shot":[43],"new":[47,162],"task":[48,58,163],"class.":[51],"In":[52],"detection":[55],"problem,":[56],"associated":[60],"with":[61,149],"set":[63],"specific":[65],"environmental":[66],"conditions":[67],"such":[68],"as":[69,176],"target,":[70],"clutter":[71],"or":[72],"interference":[73],"properties.":[74],"The":[75,91],"proposed":[76,122,136,157],"detector":[77,105,158],"design":[78],"separated":[80],"into":[81],"two":[82],"stages:":[83],"meta-training":[85,95,130,143,178],"stage":[86,96],"and":[87,171],"an":[88,181],"adaptation":[89],"stage.":[90],"outcome":[92],"used":[98],"initialize":[100],"parameter":[106],"vector,":[107],"which":[108],"turn":[110],"relies":[111,179],"on":[112,180],"data":[115,127,144],"available":[116,128,133,147],"adaptation.":[118],"Unlike":[119],"previously":[121],"offline":[123],"approach,":[124],"where":[125,142],"all":[126],"was":[131],"assumed":[132],"upfront,":[134],"procedure":[138],"applied":[140],"online,":[141],"made":[146],"incrementally,":[148],"task.":[151],"Numerical":[152],"results":[153],"validate":[154],"that":[155,172],"may":[159],"learn":[160],"samples,":[170],"performance":[174],"improves":[175],"increasing":[182],"tasks.":[185]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}