{"id":"https://openalex.org/W2792367815","doi":"https://doi.org/10.1109/tvt.2018.2813058","title":"Single-Site Localization Based on a New Type of Fingerprint for Massive MIMO-OFDM Systems","display_name":"Single-Site Localization Based on a New Type of Fingerprint for Massive MIMO-OFDM Systems","publication_year":2018,"publication_date":"2018-03-07","ids":{"openalex":"https://openalex.org/W2792367815","doi":"https://doi.org/10.1109/tvt.2018.2813058","mag":"2792367815"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2018.2813058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2018.2813058","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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/A5103102156","display_name":"Xiaoyu Sun","orcid":"https://orcid.org/0000-0003-3895-0047"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Sun","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3895-0047","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050692023","display_name":"Xiqi Gao","orcid":"https://orcid.org/0000-0001-9107-6593"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiqi Gao","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9107-6593","affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039289964","display_name":"Geoffrey Ye Li","orcid":"https://orcid.org/0000-0002-7894-2415"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geoffrey Ye Li","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100750910","display_name":"Wei Han","orcid":"https://orcid.org/0000-0003-4846-5715"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Han","raw_affiliation_strings":["Huawei Technologies, Co. Ltd., Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4846-5715","affiliations":[{"raw_affiliation_string":"Huawei Technologies, Co. Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5542,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.93389633,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"67","issue":"7","first_page":"6134","last_page":"6145"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9983000159263611,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.7232991456985474},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.6533476710319519},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6297928094863892},{"id":"https://openalex.org/keywords/mimo-ofdm","display_name":"MIMO-OFDM","score":0.6153061389923096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.565270185470581},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.526505172252655},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5224601030349731},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4595263600349426},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.432179719209671},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4110099673271179},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.38385558128356934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33193808794021606},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32110166549682617},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.317160427570343},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18278536200523376},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.17291215062141418}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.7232991456985474},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.6533476710319519},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6297928094863892},{"id":"https://openalex.org/C130946814","wikidata":"https://www.wikidata.org/wiki/Q5988271","display_name":"MIMO-OFDM","level":4,"score":0.6153061389923096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.565270185470581},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.526505172252655},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5224601030349731},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4595263600349426},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.432179719209671},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4110099673271179},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.38385558128356934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33193808794021606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32110166549682617},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.317160427570343},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18278536200523376},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.17291215062141418},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2018.2813058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2018.2813058","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G1510920717","display_name":"\u57fa\u4e8e\u52a8\u6001\u5bfc\u9891\u590d\u7528\u7684\u5bbd\u5e26\u5927\u89c4\u6a21MIMO\u65e0\u7ebf\u4f20\u8f93\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61471113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G264724915","display_name":null,"funder_award_id":"61521061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4712056952","display_name":null,"funder_award_id":"61761136016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6584467970","display_name":null,"funder_award_id":"61631018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G72759632","display_name":null,"funder_award_id":"61320106003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W192647492","https://openalex.org/W203533378","https://openalex.org/W1490674876","https://openalex.org/W1849489850","https://openalex.org/W1965349319","https://openalex.org/W1971443733","https://openalex.org/W1980560153","https://openalex.org/W2001715686","https://openalex.org/W2004992251","https://openalex.org/W2015301486","https://openalex.org/W2023535408","https://openalex.org/W2042187995","https://openalex.org/W2102434487","https://openalex.org/W2110176871","https://openalex.org/W2125797950","https://openalex.org/W2128190945","https://openalex.org/W2128716351","https://openalex.org/W2130632805","https://openalex.org/W2143228105","https://openalex.org/W2144723957","https://openalex.org/W2147601077","https://openalex.org/W2156075923","https://openalex.org/W2163817142","https://openalex.org/W2166221222","https://openalex.org/W2309512289","https://openalex.org/W2316879520","https://openalex.org/W2469797310","https://openalex.org/W2478503558","https://openalex.org/W2486522403","https://openalex.org/W2766004141","https://openalex.org/W6607840220","https://openalex.org/W6608218929"],"related_works":["https://openalex.org/W2792339401","https://openalex.org/W2530747331","https://openalex.org/W2125564215","https://openalex.org/W2366188968","https://openalex.org/W2159772567","https://openalex.org/W2350223345","https://openalex.org/W2188042986","https://openalex.org/W2539022530","https://openalex.org/W2187587942","https://openalex.org/W2099901901"],"abstract_inverted_index":{"Localization":[0],"for":[1,48,87,133],"mobile":[2],"devices":[3],"is":[4,66,96,111],"drawing":[5],"increasing":[6],"interest":[7],"from":[8,68],"both":[9],"industry":[10],"and":[11,29,84,117,127],"academia":[12],"as":[13,26],"location-based":[14],"services":[15],"spring":[16],"up":[17],"in":[18,81],"recent":[19],"years.":[20],"For":[21],"rich":[22],"scattering":[23],"environments,":[24],"such":[25],"urban":[27],"areas":[28],"indoor":[30],"corridors,":[31],"fingerprint-based":[32,44],"localization":[33,46,145],"techniques":[34],"are":[35],"very":[36],"promising.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,120],"propose":[42,122],"a":[43,123,128],"single-site":[45],"method":[47,110,126],"massive":[49,88],"multiple-input":[50],"multiple-output":[51],"(MIMO)":[52],"orthogonal":[53],"frequency-division":[54],"multiplexing":[55],"(OFDM)":[56],"systems.":[57,90],"A":[58,91],"new":[59,92,104],"angle":[60,83],"delay":[61,85],"channel":[62,70],"power":[63],"matrix":[64],"fingerprint":[65,93,124,130],"extracted":[67],"instantaneous":[69],"state":[71],"information":[72],"by":[73],"taking":[74],"full":[75],"advantage":[76],"of":[77,142],"the":[78,82,103,139,143],"high":[79],"resolution":[80],"domains":[86],"MIMO-OFDM":[89],"similarity":[94],"criterion":[95],"proposed":[97,144],"to":[98],"facilitate":[99],"localization.":[100],"Based":[101],"on":[102],"criterion,":[105],"an":[106],"efficient":[107],"location":[108],"estimation":[109],"developed.":[112],"To":[113],"reduce":[114],"storage":[115],"overhead":[116],"matching":[118],"complexity,":[119],"also":[121],"compression":[125],"two-stage":[129],"clustering":[131],"algorithm":[132],"database":[134],"preprocessing.":[135],"Numerical":[136],"results":[137],"demonstrate":[138],"desirable":[140],"performance":[141],"method.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}