{"id":"https://openalex.org/W4404317128","doi":"https://doi.org/10.1109/tim.2024.3497189","title":"3-D Millimeter-Wave Imaging for Sparse MIMO Array With Range Migration and <i>l</i>\u2082-Norm-Reinforced Sparse Bayesian Learning","display_name":"3-D Millimeter-Wave Imaging for Sparse MIMO Array With Range Migration and <i>l</i>\u2082-Norm-Reinforced Sparse Bayesian Learning","publication_year":2024,"publication_date":"2024-11-13","ids":{"openalex":"https://openalex.org/W4404317128","doi":"https://doi.org/10.1109/tim.2024.3497189"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3497189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3497189","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5088134297","display_name":"Hao Tu","orcid":"https://orcid.org/0000-0002-2230-5417"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Tu","raw_affiliation_strings":["School of Microelectronics, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-2230-5417","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053773347","display_name":"Libin Yu","orcid":"https://orcid.org/0009-0008-3470-5654"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libin Yu","raw_affiliation_strings":["School of Microelectronics, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0008-3470-5654","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhaolong Wang","orcid":"https://orcid.org/0009-0003-8950-9515"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaolong Wang","raw_affiliation_strings":["School of Microelectronics, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0003-8950-9515","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003613128","display_name":"Wen Huang","orcid":"https://orcid.org/0000-0002-3331-1425"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Huang","raw_affiliation_strings":["School of Microelectronics, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3331-1425","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065172077","display_name":"Lei Sang","orcid":"https://orcid.org/0000-0002-6953-3433"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Sang","raw_affiliation_strings":["School of Microelectronics, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6953-3433","affiliations":[{"raw_affiliation_string":"School of Microelectronics, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7398,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71895209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9979000091552734,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9979000091552734,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11946","display_name":"Antenna Design and Optimization","score":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6013224124908447},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.5748633146286011},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4583837389945984},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45739659667015076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4568338096141815},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.44712692499160767},{"id":"https://openalex.org/keywords/sparse-array","display_name":"Sparse array","score":0.44075390696525574},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4116343855857849},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.33025622367858887},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3233402967453003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3227512836456299},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2892764210700989},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2672039866447449},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22045058012008667},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.07661643624305725}],"concepts":[{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6013224124908447},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.5748633146286011},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4583837389945984},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45739659667015076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4568338096141815},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.44712692499160767},{"id":"https://openalex.org/C145177509","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse array","level":2,"score":0.44075390696525574},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4116343855857849},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.33025622367858887},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3233402967453003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3227512836456299},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2892764210700989},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2672039866447449},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22045058012008667},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.07661643624305725},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3497189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3497189","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4517003242","display_name":null,"funder_award_id":"2021Z06","funder_id":"https://openalex.org/F4320335965","funder_display_name":"Science and Technology Major Project of Guangxi"}],"funders":[{"id":"https://openalex.org/F4320335965","display_name":"Science and Technology Major Project of Guangxi","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2545343974","https://openalex.org/W4285146124","https://openalex.org/W2982294333","https://openalex.org/W2117946168","https://openalex.org/W2051410394","https://openalex.org/W2007259720","https://openalex.org/W4250086616","https://openalex.org/W2028515057","https://openalex.org/W2479967241","https://openalex.org/W2137430301"],"abstract_inverted_index":{"Sparse":[0],"multiple-input-multiple-output":[1],"(MIMO)":[2],"millimeter-wave":[3],"(MMW)":[4],"near-field":[5,115],"imaging":[6,35,60,78,96,116,177,201],"systems,":[7],"based":[8,135],"on":[9,136],"the":[10,17,25,50,54,85,103,110,125,143,160,165,176,181],"principle":[11],"of":[12,27,53,164],"phase":[13,98,111,144],"coherence,":[14],"can":[15],"reduce":[16],"hardware":[18],"cost":[19],"and":[20,23,121,162,192],"system":[21],"complexity":[22],"improve":[24],"speed":[26],"perception":[28],"while":[29,57],"ensuring":[30],"high":[31,189,200],"resolution.":[32],"Conventional":[33],"frequency-domain":[34,95],"algorithms":[36],"such":[37,46,62],"as":[38,63,88],"range":[39],"migration":[40],"cannot":[41,106],"be":[42],"directly":[43],"applied":[44],"to":[45,49,141,158,174,185],"systems":[47],"due":[48],"spatial":[51],"downsampling":[52],"antenna":[55],"array,":[56],"conventional":[58],"time-domain":[59],"methods":[61],"back":[64],"projection":[65],"are":[66],"highly":[67],"computationally":[68],"ineffective.":[69],"To":[70],"address":[71],"this":[72],"issue,":[73],"we":[74,128],"propose":[75],"a":[76,89,130,208],"two-stage":[77],"algorithm.":[79],"The":[80,168],"first":[81,182],"stage":[82],"deals":[83],"with":[84,118,188,203],"sparse":[86,137],"array":[87,92],"virtual":[90],"full":[91],"for":[93,109,207],"fast":[94],"using":[97],"center":[99],"approximation":[100],"(PCA).":[101],"However,":[102],"PCA":[104],"process":[105],"accurately":[107],"compensate":[108],"errors,":[112,145],"especially":[113],"in":[114,124,180],"scenarios":[117],"large":[119,209],"field-of-view":[120],"undersampling.":[122],"Thus,":[123],"second":[126],"step,":[127,183],"introduce":[129],"compressive":[131],"sensing":[132],"(CS)":[133],"algorithm":[134,198],"Bayesian":[138],"learning":[139],"(SBL)":[140],"correct":[142],"where":[146],"an":[147],"<inline-formula":[148],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[149],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[150],"<tex-math":[151],"notation=\"LaTeX\">$l_{2}$":[152],"</tex-math></inline-formula>":[153],"norm":[154],"term":[155],"is":[156,171],"introduced":[157],"balance":[159],"sparsity":[161],"fidelity":[163],"reconstructed":[166],"image.":[167],"optimization":[169],"problem":[170],"iteratively":[172],"solved":[173],"refocus":[175],"results":[178],"obtained":[179],"leading":[184],"3-D":[186],"images":[187],"quality.":[190],"Simulations":[191],"experiments":[193],"confirm":[194],"that":[195],"our":[196],"proposed":[197],"achieves":[199],"performance":[202],"good":[204],"computational":[205],"efficiency":[206],"undersampling":[210],"ratio":[211],"(USR).":[212]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2024-11-14T00:00:00"}
