{"id":"https://openalex.org/W3157258065","doi":"https://doi.org/10.1109/wcnc49053.2021.9417496","title":"High-dimensional Channel Estimation for Simultaneous Localization and Communications","display_name":"High-dimensional Channel Estimation for Simultaneous Localization and Communications","publication_year":2021,"publication_date":"2021-03-29","ids":{"openalex":"https://openalex.org/W3157258065","doi":"https://doi.org/10.1109/wcnc49053.2021.9417496","mag":"3157258065"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc49053.2021.9417496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc49053.2021.9417496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5020321399","display_name":"Fan Jiang","orcid":"https://orcid.org/0000-0003-0598-0178"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Fan Jiang","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782394","display_name":"Yu Ge","orcid":"https://orcid.org/0000-0003-1747-2664"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yu Ge","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103173619","display_name":"Meifang Zhu","orcid":"https://orcid.org/0000-0002-5756-1146"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Meifang Zhu","raw_affiliation_strings":["Lund University, Lund, Sweden"],"affiliations":[{"raw_affiliation_string":"Lund University, Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033860704","display_name":"Henk Wymeersch","orcid":"https://orcid.org/0000-0002-1298-6159"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Henk Wymeersch","raw_affiliation_strings":["Chalmers University of Technology, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020321399"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":1.9051,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85725066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9998000264167786,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.7672154903411865},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6847589015960693},{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.6656319499015808},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6569456458091736},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6561990976333618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6097061634063721},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.5890567302703857},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.5528379678726196},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.5463106036186218},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.48567995429039},{"id":"https://openalex.org/keywords/rotational-invariance","display_name":"Rotational invariance","score":0.4568908214569092},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.45113831758499146},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4404899477958679},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.3282211124897003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29243505001068115},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.2194245457649231},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20421230792999268},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.2039128839969635},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15503421425819397},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12666061520576477}],"concepts":[{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.7672154903411865},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6847589015960693},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.6656319499015808},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6569456458091736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6561990976333618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6097061634063721},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.5890567302703857},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.5528379678726196},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.5463106036186218},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.48567995429039},{"id":"https://openalex.org/C33098168","wikidata":"https://www.wikidata.org/wiki/Q108537107","display_name":"Rotational invariance","level":2,"score":0.4568908214569092},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.45113831758499146},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4404899477958679},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.3282211124897003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29243505001068115},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.2194245457649231},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20421230792999268},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.2039128839969635},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15503421425819397},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12666061520576477},{"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wcnc49053.2021.9417496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc49053.2021.9417496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},{"id":"pmh:oai:lup.lub.lu.se:e8ded091-cf9f-4633-b8c3-c1ad3040d468","is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/e8ded091-cf9f-4633-b8c3-c1ad3040d468","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1525-3511","raw_type":"text"},{"id":"pmh:oai:research.chalmers.se:526882","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/526882","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1971443733","https://openalex.org/W2038852905","https://openalex.org/W2117206394","https://openalex.org/W2125930644","https://openalex.org/W2128575867","https://openalex.org/W2529588774","https://openalex.org/W2567721228","https://openalex.org/W2593683299","https://openalex.org/W2611686980","https://openalex.org/W2725848324","https://openalex.org/W2810926963","https://openalex.org/W2904547303","https://openalex.org/W2912272023","https://openalex.org/W2963673880","https://openalex.org/W2964173781","https://openalex.org/W2966896184","https://openalex.org/W2990352483","https://openalex.org/W2995013650","https://openalex.org/W3053647791","https://openalex.org/W3093658987","https://openalex.org/W4239066252","https://openalex.org/W6660120635","https://openalex.org/W6756155252","https://openalex.org/W6771853542"],"related_works":["https://openalex.org/W2724847603","https://openalex.org/W2034041141","https://openalex.org/W2184661725","https://openalex.org/W2900187352","https://openalex.org/W2573470972","https://openalex.org/W2105626102","https://openalex.org/W2131038454","https://openalex.org/W112856298","https://openalex.org/W145130300","https://openalex.org/W2169056646"],"abstract_inverted_index":{"Simultaneous":[0],"localization":[1],"and":[2,11,50,70,87,94,102],"communication":[3],"(SLAC)":[4],"is":[5,89],"a":[6,33,66],"desirable":[7],"feature":[8],"of":[9,106],"5G":[10,13],"beyond":[12],"wireless":[14],"networks.":[15],"To":[16],"be":[17],"able":[18],"to":[19,54,59,73],"implement":[20],"SLAC,":[21],"efficient":[22],"high":[23],"dimensional":[24],"channel":[25,36],"estimation":[26,38],"methods":[27],"are":[28],"critical.":[29],"This":[30],"work":[31],"presents":[32],"low-complexity":[34],"multidimensional":[35],"parameter":[37],"via":[39],"rotational":[40],"invariance":[41],"techniques":[42,53],"(MD-ESPRIT).":[43],"We":[44,64],"use":[45],"both":[46],"the":[47,75,99,107],"spatial":[48],"smoothing":[49],"forward-backward":[51],"averaging":[52],"further":[55],"explore":[56],"data":[57],"samples":[58],"extract":[60],"multipath":[61],"components":[62],"(MPCs).":[63],"propose":[65],"one-dimensional":[67],"Fast-Fourier-Transform-":[68],"(FFT)":[69],"inverse-FFT-based":[71],"approach":[72],"obtain":[74],"signal":[76],"subspaces":[77],"for":[78,91],"angular":[79],"frequency":[80],"estimation.":[81],"The":[82],"geometry":[83],"relationship":[84],"between":[85],"MPCs":[86],"positions":[88],"utilized":[90],"simultaneous":[92],"positioning":[93],"mapping.":[95],"Numerical":[96],"results":[97],"demonstrate":[98],"improved":[100],"identifiability":[101],"low":[103],"complexity":[104],"performance":[105],"proposed":[108],"scheme.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
