{"id":"https://openalex.org/W4226377533","doi":"https://doi.org/10.1109/tvt.2022.3157938","title":"A Tensor Generalized Weighted Linear Predictor for FDA-MIMO Radar Parameter Estimation","display_name":"A Tensor Generalized Weighted Linear Predictor for FDA-MIMO Radar Parameter Estimation","publication_year":2022,"publication_date":"2022-03-09","ids":{"openalex":"https://openalex.org/W4226377533","doi":"https://doi.org/10.1109/tvt.2022.3157938"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2022.3157938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3157938","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/A5101812155","display_name":"Chao Wen","orcid":"https://orcid.org/0000-0002-6894-8207"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Wen","raw_affiliation_strings":["Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000102478","display_name":"Yu Xie","orcid":"https://orcid.org/0000-0002-3431-0432"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xie","raw_affiliation_strings":["School of Computer and Information Technology, Shanxi University, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357536","display_name":"Zhiwei Qiao","orcid":"https://orcid.org/0000-0003-4194-203X"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Qiao","raw_affiliation_strings":["School of Computer and Information Technology, Shanxi University, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100909793","display_name":"Liyun Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyun Xu","raw_affiliation_strings":["Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003563112","display_name":"Yuhua Qian","orcid":"https://orcid.org/0000-0001-6772-4247"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Qian","raw_affiliation_strings":["Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China","Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101812155"],"corresponding_institution_ids":["https://openalex.org/I181877577"],"apc_list":null,"apc_paid":null,"fwci":3.0044,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92316927,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"71","issue":"6","first_page":"6059","last_page":"6072"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9947999715805054,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.7076176404953003},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.6334429979324341},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6226596236228943},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6154255867004395},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6122453808784485},{"id":"https://openalex.org/keywords/pairing","display_name":"Pairing","score":0.5941182971000671},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5853171348571777},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.47316011786460876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4441237449645996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.429651141166687},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.41740715503692627},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3779437243938446},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3565431833267212},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23186874389648438},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16410070657730103},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15927112102508545},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15312856435775757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13497266173362732},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.1295320689678192}],"concepts":[{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.7076176404953003},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.6334429979324341},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6226596236228943},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6154255867004395},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6122453808784485},{"id":"https://openalex.org/C14103023","wikidata":"https://www.wikidata.org/wiki/Q11681459","display_name":"Pairing","level":3,"score":0.5941182971000671},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5853171348571777},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.47316011786460876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4441237449645996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.429651141166687},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.41740715503692627},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3779437243938446},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3565431833267212},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23186874389648438},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16410070657730103},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15927112102508545},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15312856435775757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13497266173362732},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.1295320689678192},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C54101563","wikidata":"https://www.wikidata.org/wiki/Q124131","display_name":"Superconductivity","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2022.3157938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3157938","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":[],"awards":[{"id":"https://openalex.org/G2451693359","display_name":null,"funder_award_id":"62071281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2869900018","display_name":null,"funder_award_id":"61901248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4548318385","display_name":null,"funder_award_id":"62106134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8178587797","display_name":null,"funder_award_id":"62136005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8946654418","display_name":null,"funder_award_id":"62106131","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W32702425","https://openalex.org/W210359992","https://openalex.org/W1979654468","https://openalex.org/W1985155075","https://openalex.org/W1986735094","https://openalex.org/W1989499111","https://openalex.org/W2013912476","https://openalex.org/W2065374895","https://openalex.org/W2072730335","https://openalex.org/W2111855076","https://openalex.org/W2117383935","https://openalex.org/W2122579903","https://openalex.org/W2128380657","https://openalex.org/W2128575867","https://openalex.org/W2129100866","https://openalex.org/W2132639093","https://openalex.org/W2136210023","https://openalex.org/W2138824960","https://openalex.org/W2141163575","https://openalex.org/W2147249723","https://openalex.org/W2149755721","https://openalex.org/W2159379713","https://openalex.org/W2160664759","https://openalex.org/W2163115628","https://openalex.org/W2164137373","https://openalex.org/W2528771714","https://openalex.org/W2545673818","https://openalex.org/W2754045061","https://openalex.org/W2760203759","https://openalex.org/W2795543364","https://openalex.org/W2798611607","https://openalex.org/W2889078132","https://openalex.org/W2955704495","https://openalex.org/W2964962718","https://openalex.org/W2973146207","https://openalex.org/W3005034039","https://openalex.org/W3212266429","https://openalex.org/W4312258136","https://openalex.org/W6756758463"],"related_works":["https://openalex.org/W1974129636","https://openalex.org/W2552635486","https://openalex.org/W1598584175","https://openalex.org/W3006948849","https://openalex.org/W3214883977","https://openalex.org/W1998523300","https://openalex.org/W2173736524","https://openalex.org/W1972488940","https://openalex.org/W2130590832","https://openalex.org/W1998999699"],"abstract_inverted_index":{"Radar":[0],"parameter":[1,82,106,170],"estimation":[2,64,107],"in":[3,15,32,48,89],"terms":[4],"of":[5,29,55,95,113,136,145,154,178,188],"its":[6],"range,":[7,148],"angle":[8],"and":[9,39,151,198],"velocity":[10,131,153],"plays":[11],"a":[12,49,70,90,155],"crucial":[13],"role":[14],"many":[16],"applications.":[17],"Multiple-input":[18],"multiple-output":[19],"(MIMO)":[20],"radar":[21,81,98],"with":[22,36,138],"frequency":[23,165],"diverse":[24],"array":[25],"(FDA)":[26],"is":[27,77,100,108,126,172,176,193],"capable":[28],"resolving":[30],"targets":[31,137],"one":[33],"directional":[34],"beam":[35],"different":[37],"ranges":[38],"velocities":[40],"(Doppler":[41],"shifts).":[42],"Prevalent":[43],"methods":[44],"obtain":[45,129],"target":[46,157],"parameters":[47,86],"sequential":[50],"manner":[51],"to":[52,119,128,202,213],"get":[53],"rid":[54],"exhausted":[56],"multi-dimensional":[57],"search,":[58],"but":[59],"they":[60],"suffer":[61],"from":[62,182],"accumulated":[63],"errors.":[65],"To":[66],"tackle":[67],"this":[68],"issue,":[69],"tensor":[71],"generalized":[72],"weighted":[73],"linear":[74],"predictor":[75],"(TGWLP)":[76],"devised":[78],"for":[79],"FDA-MIMO":[80,97],"estimation,":[83],"where":[84],"the":[85,104,120,134,142,163,169,179,186,189,205,214],"are":[87,200],"estimated":[88],"parallel":[91,164],"manner.":[92],"Tensor":[93],"modeling":[94],"multidimensional":[96],"signal":[99],"developed,":[101],"so":[102],"that":[103,204],"joint":[105,191],"casted":[109],"into":[110],"multiple-pulse-group":[111],"version":[112],"three-dimensional":[114],"(3D)":[115],"HR":[116],"problem":[117],"associated":[118],"mixed":[121],"Swerling":[122],"model.":[123],"Pulse-group":[124],"diversity":[125],"exploited":[127],"precise":[130],"estimation.":[132],"In":[133],"presence":[135],"some":[139],"identical":[140],"parameters,":[141],"final":[143],"estimations":[144],"unambiguous":[146],"slant":[147],"conic":[149],"angle,":[150],"radial":[152],"moving":[156],"can":[158,208],"be":[159],"easily":[160],"obtained":[161],"after":[162],"estimations.":[166],"Besides,":[167],"all":[168],"pairing":[171,183],"automatically":[173],"achieved,":[174],"which":[175],"free":[177],"extra":[180],"burden":[181],"process.":[184],"Furthermore,":[185],"identifiability":[187],"proposed":[190,206],"estimator":[192],"analyzed.":[194],"Finally,":[195],"theoretical":[196],"analysis":[197],"simulations":[199],"included":[201],"demonstrate":[203],"approach":[207],"achieve":[209],"improved":[210],"performance":[211],"compared":[212],"existing":[215],"methods.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}