{"id":"https://openalex.org/W4415594522","doi":"https://doi.org/10.1109/tvt.2025.3625908","title":"Array Position Calibration for Robust DOA Estimation of Incoherently Distributed Sources","display_name":"Array Position Calibration for Robust DOA Estimation of Incoherently Distributed Sources","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W4415594522","doi":"https://doi.org/10.1109/tvt.2025.3625908"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3625908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3625908","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/A5101676534","display_name":"Yapeng Liu","orcid":"https://orcid.org/0000-0003-3822-2824"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yapeng Liu","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-3822-2824","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011832722","display_name":"Hongyuan Gao","orcid":"https://orcid.org/0000-0001-8505-6828"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN","IT"],"is_corresponding":false,"raw_author_name":"Hongyuan Gao","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","Department of Information Engineering, University of Pisa, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8505-6828","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075507631","display_name":"Maria Greco","orcid":"https://orcid.org/0000-0002-3804-2949"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Sabrina Greco","raw_affiliation_strings":["Department of Information Engineering, University of Pisa, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3804-2949","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014201482","display_name":"Fulvio Gini","orcid":"https://orcid.org/0000-0002-5362-7320"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fulvio Gini","raw_affiliation_strings":["Department of Information Engineering, University of Pisa, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5362-7320","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34873291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"75","issue":"5","first_page":"7716","last_page":"7727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9976999759674072,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9969000220298767,"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/robustness","display_name":"Robustness (evolution)","score":0.6922000050544739},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.5153999924659729},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4799000024795532},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.4781000018119812},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.454800009727478},{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.4498000144958496},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4449999928474426},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4237000048160553},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.40700000524520874}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6922000050544739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055999994277954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5803999900817871},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.5153999924659729},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4799000024795532},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.4781000018119812},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.454800009727478},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.4498000144958496},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4449999928474426},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.39500001072883606},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.3776000142097473},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3228999972343445},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3181999921798706},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3181000053882599},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C108439606","wikidata":"https://www.wikidata.org/wiki/Q3305038","display_name":"Angular displacement","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2946999967098236},{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C14103023","wikidata":"https://www.wikidata.org/wiki/Q11681459","display_name":"Pairing","level":3,"score":0.2824999988079071},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.2754000127315521},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2752000093460083},{"id":"https://openalex.org/C163150518","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Time of arrival","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvt.2025.3625908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3625908","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"},{"id":"pmh:oai:arpi.unipi.it:11568/1344187","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1344187","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Existing":[0],"calibration":[1],"methods":[2],"designed":[3],"for":[4,38,93,101],"point-like":[5],"source":[6,60],"models":[7],"degrade":[8],"in":[9,56],"multipath":[10],"scattering":[11],"environments":[12],"due":[13],"to":[14],"unmodeled":[15],"angular":[16,46,65],"spread":[17,66],"and":[18,23,48,67,70,95,98,103,109,132],"coupling":[19],"between":[20],"position":[21],"errors":[22],"directions":[24],"of":[25,112,134],"arrival":[26],"(DOAs).":[27],"To":[28],"address":[29],"this":[30,80],"issue,":[31],"we":[32,52],"propose":[33],"a":[34,54,73,110,124],"joint":[35],"estimation":[36],"framework":[37],"partially":[39],"calibrated":[40],"arrays":[41],"that":[42,62],"simultaneously":[43],"recovers":[44],"DOAs,":[45],"spreads,":[47],"sensor":[49],"perturbations.":[50],"Specifically,":[51],"leverage":[53],"generalized":[55],"coherently":[57],"distributed":[58],"(ID)":[59],"model":[61],"captures":[63],"stochastic":[64],"position\u2013DOA":[68],"coupling,":[69],"then":[71],"formulate":[72],"weighted":[74],"least-squares":[75],"(WLS)":[76],"objective":[77],"aligned":[78],"with":[79,90,106],"model.":[81],"We":[82],"also":[83],"develop":[84],"an":[85],"alternating":[86],"optimization":[87],"(AO)":[88],"solver":[89],"closed-form":[91],"updates":[92],"covariance":[94],"noise":[96],"terms":[97],"iterative":[99],"refinements":[100],"DOAs":[102],"positions,":[104],"together":[105],"identifiability":[107],"guarantees":[108],"proof":[111],"local":[113],"convergence.":[114],"Moreover,":[115],"the":[116,130,135],"Cram\u00b4":[117],"er\u2013Rao":[118],"lower":[119],"bound":[120],"is":[121],"derived":[122],"as":[123],"theoretical":[125],"benchmark.":[126],"Extensive":[127],"simulations":[128],"validate":[129],"effectiveness":[131],"robustness":[133],"proposed":[136],"method.":[137]},"counts_by_year":[],"updated_date":"2026-05-20T06:11:20.791850","created_date":"2025-10-28T00:00:00"}
