{"id":"https://openalex.org/W3016879299","doi":"https://doi.org/10.1109/icaiic48513.2020.9065002","title":"A Deep Autoencoder Approach to Received Signal Strength-Based Localization with Unknown Channel Parameters","display_name":"A Deep Autoencoder Approach to Received Signal Strength-Based Localization with Unknown Channel Parameters","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3016879299","doi":"https://doi.org/10.1109/icaiic48513.2020.9065002","mag":"3016879299"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic48513.2020.9065002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5014181240","display_name":"Chaehun Im","orcid":"https://orcid.org/0000-0002-6964-8847"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chaehun Im","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101826513","display_name":"Sunghoon Jung","orcid":"https://orcid.org/0000-0001-5817-6023"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunghoon Jung","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017911833","display_name":"Chungyoung Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chungyoung Lee","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014181240"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.4157,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60539231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2020","issue":null,"first_page":"152","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/autoencoder","display_name":"Autoencoder","score":0.9646109342575073},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.7940844893455505},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.7022299766540527},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.695419430732727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6718480587005615},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6040698289871216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5096373558044434},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5068514943122864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5027940273284912},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5018737316131592},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48726287484169006},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.35611337423324585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21932607889175415},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13384303450584412},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.09118518233299255}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9646109342575073},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.7940844893455505},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7022299766540527},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.695419430732727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6718480587005615},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6040698289871216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5096373558044434},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5068514943122864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5027940273284912},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5018737316131592},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48726287484169006},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35611337423324585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21932607889175415},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13384303450584412},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.09118518233299255},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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":2,"locations":[{"id":"doi:10.1109/icaiic48513.2020.9065002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},{"id":"mag:3041677157","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002254642146556","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W1522301498","https://openalex.org/W1965006965","https://openalex.org/W2082715409","https://openalex.org/W2100989187","https://openalex.org/W2140708977","https://openalex.org/W2269319342","https://openalex.org/W2297064387","https://openalex.org/W2610335499","https://openalex.org/W2613032697","https://openalex.org/W2832604869","https://openalex.org/W2964121744","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2162859609","https://openalex.org/W2669956259","https://openalex.org/W4200318234","https://openalex.org/W2022445516","https://openalex.org/W150547863","https://openalex.org/W4249005693","https://openalex.org/W1891938465","https://openalex.org/W2982532306","https://openalex.org/W4392946183","https://openalex.org/W3088732000"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,47],"new":[3],"framework":[4],"for":[5],"the":[6,24,28,32,37,40,43,53,57,61,66,74,83,88],"received":[7],"signal":[8],"strength-based":[9],"localization":[10],"when":[11],"channel":[12,44,89],"parameters":[13,45,55,90],"are":[14,91],"unknown.":[15,92],"The":[16,69],"proposed":[17,84],"positioning":[18,77],"method":[19],"consists":[20],"of":[21,76],"two":[22],"parts:":[23],"offline":[25,33],"phase":[26],"and":[27,42],"online":[29],"phase.":[30],"In":[31],"phase,":[34],"we":[35,59],"learn":[36],"relation":[38],"between":[39],"RSS":[41],"using":[46],"deep":[48],"autoencoder":[49],"structure.":[50],"By":[51],"exploiting":[52],"estimated":[54],"from":[56],"autoencoder,":[58],"determine":[60],"user's":[62],"location":[63],"based":[64],"on":[65],"least-squares":[67],"solution.":[68],"simulation":[70],"results":[71],"show":[72],"that":[73],"accuracy":[75],"can":[78],"be":[79],"effectively":[80],"achieved":[81],"with":[82],"scheme":[85],"even":[86],"though":[87]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
