{"id":"https://openalex.org/W4283207593","doi":"https://doi.org/10.1109/rfid54732.2022.9795983","title":"SA-Loc: Scenario Adaptive Localization in Highly Dynamic Environment using Adversarial Regressive Domain Adaptation","display_name":"SA-Loc: Scenario Adaptive Localization in Highly Dynamic Environment using Adversarial Regressive Domain Adaptation","publication_year":2022,"publication_date":"2022-05-17","ids":{"openalex":"https://openalex.org/W4283207593","doi":"https://doi.org/10.1109/rfid54732.2022.9795983"},"language":"en","primary_location":{"id":"doi:10.1109/rfid54732.2022.9795983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid54732.2022.9795983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on RFID (RFID)","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/A5101661986","display_name":"Lei Chu","orcid":"https://orcid.org/0000-0002-6626-8312"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lei Chu","raw_affiliation_strings":["University of Southern,Ming Hsieh Department of Electrical and Computer Engineering,California,CA,USA","Ming Hsieh Department of Electrical and Computer Engineering, University of Southern, California, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern,Ming Hsieh Department of Electrical and Computer Engineering,California,CA,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Ming Hsieh Department of Electrical and Computer Engineering, University of Southern, California, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062075290","display_name":"Abdullah Alghafis","orcid":"https://orcid.org/0000-0002-7336-429X"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdullah Alghafis","raw_affiliation_strings":["University of Southern,Ming Hsieh Department of Electrical and Computer Engineering,California,CA,USA","Ming Hsieh Department of Electrical and Computer Engineering, University of Southern, California, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern,Ming Hsieh Department of Electrical and Computer Engineering,California,CA,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Ming Hsieh Department of Electrical and Computer Engineering, University of Southern, California, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071725365","display_name":"Andreas F. Molisch","orcid":"https://orcid.org/0000-0002-4779-4763"},"institutions":[{"id":"https://openalex.org/I1284598098","display_name":"King Abdulaziz City for Science and Technology","ror":"https://ror.org/05tdz6m39","country_code":"SA","type":"facility","lineage":["https://openalex.org/I1284598098"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Andreas F. Molisch","raw_affiliation_strings":["Information Technology Research Institute, King Abdulaziz City for Science and Technology,Riyadh,Saudi,Arabia","Information Technology Research Institute, King Abdulaziz City for Science and Technology, Riyadh, Saudi, Arabia"],"affiliations":[{"raw_affiliation_string":"Information Technology Research Institute, King Abdulaziz City for Science and Technology,Riyadh,Saudi,Arabia","institution_ids":["https://openalex.org/I1284598098"]},{"raw_affiliation_string":"Information Technology Research Institute, King Abdulaziz City for Science and Technology, Riyadh, Saudi, Arabia","institution_ids":["https://openalex.org/I1284598098"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101661986"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.3659,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56190722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"132","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9958000183105469,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9958000183105469,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9947999715805054,"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/domain-adaptation","display_name":"Domain adaptation","score":0.7244815230369568},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7155557870864868},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6952123641967773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6700989007949829},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5538198947906494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3063223361968994},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10154753923416138},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08796107769012451},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0662667453289032}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7244815230369568},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7155557870864868},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6952123641967773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6700989007949829},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5538198947906494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3063223361968994},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10154753923416138},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08796107769012451},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0662667453289032},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rfid54732.2022.9795983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid54732.2022.9795983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on RFID (RFID)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5699999928474426,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W432844638","https://openalex.org/W1882958252","https://openalex.org/W2153531144","https://openalex.org/W2164943005","https://openalex.org/W2309512289","https://openalex.org/W2792367815","https://openalex.org/W2891975605","https://openalex.org/W2903146257","https://openalex.org/W2958341116","https://openalex.org/W2962927793","https://openalex.org/W2981096252","https://openalex.org/W2995103770","https://openalex.org/W3002652589","https://openalex.org/W3002828819","https://openalex.org/W3041133507","https://openalex.org/W3088743736","https://openalex.org/W3091752016","https://openalex.org/W3098870078","https://openalex.org/W3126469890","https://openalex.org/W4239066252","https://openalex.org/W4288574671","https://openalex.org/W6754770232","https://openalex.org/W6759127422"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Localization":[0],"based":[1,30,84,124],"on":[2,31,125],"signals":[3],"from":[4,159,174],"cellular":[5],"base":[6],"stations":[7],"(BSs)":[8],"or":[9],"WiFi":[10],"access":[11],"points":[12],"is":[13,29],"important":[14],"particularly":[15],"in":[16,47,86,194,203],"urban":[17],"environments":[18],"where":[19,33],"street":[20],"canyon":[21],"effects":[22],"impair":[23],"GPS":[24],"reception.":[25],"A":[26],"popular":[27],"implementation":[28],"fingerprinting,":[32],"associations":[34],"between":[35,102],"channel":[36,77],"characteristics":[37],"and":[38,51,75,104,115,141,161,176,217],"location":[39,219],"of":[40,56,73,110,171,190,224],"a":[41,48,65,121,126,195],"moving":[42,94],"terminal":[43],"(MT)":[44],"are":[45],"measured":[46],"training":[49,103,144],"phase,":[50],"later":[52],"(in":[53],"the":[54,71,91,100,108,111,168,188,191,198,204,211,225],"testing":[55],"operating":[57],"phase)":[58],"used":[59],"to":[60,88,150],"localize":[61],"an":[62,136,142],"MT":[63],"measuring":[64],"particular":[66,87],"channel.":[67],"This":[68],"paper":[69],"considers":[70],"combination":[72],"labeled":[74],"unlabeled":[76],"state":[78],"information":[79],"(CSI)":[80],"for":[81,90],"such":[82],"finger-printing":[83],"localization,":[85],"account":[89],"fact":[92],"that":[93,210],"objects":[95],"like":[96],"cars":[97],"can":[98,214],"change":[99],"CSI":[101],"testing.":[105],"To":[106],"enhance":[107],"robustness":[109],"localization":[112],"against":[113],"these":[114],"other":[116,232],"\u201cunseen\u201d":[117],"scenarios,":[118,227],"we":[119,186],"propose":[120],"solution":[122],"approach":[123],"deep":[127],"domain":[128,138],"adaptation":[129,139],"(DA)":[130],"framework.":[131],"The":[132,146,164,207],"proposed":[133,192,212],"method":[134,193,213],"contains":[135],"unsupervised":[137],"regression":[140],"adversarial":[143],"module.":[145],"first":[147],"component":[148],"aims":[149],"learn":[151],"discriminative":[152],"fingerprinting":[153],"representations":[154],"jointly":[155],"with":[156,228],"data":[157],"collected":[158,173],"seen":[160,175],"unseen":[162,177],"scenes.":[163],"second":[165],"one":[166],"alleviates":[167],"distribution":[169],"divergence":[170],"fingerprints":[172],"scenes,":[178],"which":[179],"eventually":[180],"enables":[181],"effective":[182],"knowledge":[183],"transfer.":[184],"Finally,":[185],"evaluate":[187],"performance":[189,230],"challenging":[196],"setup,":[197],"recently":[199],"released":[200],"dynamic":[201],"scenario":[202],"DeepMIMO":[205],"dataset.":[206],"results":[208],"demonstrate":[209],"provide":[215],"robust":[216],"accurate":[218],"estimation":[220],"over":[221,231],"variable":[222],"numbers":[223],"time-varying":[226],"superior":[229],"compared":[233],"methods.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}