{"id":"https://openalex.org/W2120956392","doi":"https://doi.org/10.1109/icassp.2009.4960041","title":"Array interpolation based on Local Polynomial Approximation with application to DOA estimation using weighted MUSIC","display_name":"Array interpolation based on Local Polynomial Approximation with application to DOA estimation using weighted MUSIC","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2120956392","doi":"https://doi.org/10.1109/icassp.2009.4960041","mag":"2120956392"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5012189075","display_name":"Mats Viberg","orcid":"https://orcid.org/0000-0003-1549-419X"},"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":"M. Viberg","raw_affiliation_strings":["Department of Signals and Systems, Chalmers University of Technology, Goteborg, Sweden","Dept. of Signals and Systems, Chalmers Univ. of Technology, G\u00f6teborg, Sweden#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, Chalmers University of Technology, Goteborg, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Dept. of Signals and Systems, Chalmers Univ. of Technology, G\u00f6teborg, Sweden#TAB#","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036033059","display_name":"Astrid Lundgren","orcid":null},"institutions":[{"id":"https://openalex.org/I1340210623","display_name":"Volvo (Sweden)","ror":"https://ror.org/05b6ypc36","country_code":"SE","type":"company","lineage":["https://openalex.org/I1340210623"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"A. Lundgren","raw_affiliation_strings":["Volvo Technology AB, Goteborg, Sweden","Volvo Technology AB, G\u00f6teborg, Sweden#TAB#"],"affiliations":[{"raw_affiliation_string":"Volvo Technology AB, Goteborg, Sweden","institution_ids":["https://openalex.org/I1340210623"]},{"raw_affiliation_string":"Volvo Technology AB, G\u00f6teborg, Sweden#TAB#","institution_ids":["https://openalex.org/I1340210623"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012189075"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":0.3568,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.58591419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2145","last_page":"2148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10860","display_name":"Speech and Audio Processing","score":0.9987999796867371,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/estimator","display_name":"Estimator","score":0.7274446487426758},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7100364565849304},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.6057992577552795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5830814242362976},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.552931547164917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5323123335838318},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.47898387908935547},{"id":"https://openalex.org/keywords/polynomial-interpolation","display_name":"Polynomial interpolation","score":0.4601709246635437},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4525550603866577},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.43018242716789246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3630940318107605},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34236520528793335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17119333148002625},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1685943603515625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1309862732887268},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.12604328989982605}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7274446487426758},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7100364565849304},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.6057992577552795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5830814242362976},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.552931547164917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5323123335838318},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.47898387908935547},{"id":"https://openalex.org/C88080468","wikidata":"https://www.wikidata.org/wiki/Q637347","display_name":"Polynomial interpolation","level":4,"score":0.4601709246635437},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4525550603866577},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.43018242716789246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3630940318107605},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34236520528793335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17119333148002625},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1685943603515625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1309862732887268},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.12604328989982605},{"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/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2009.4960041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.lib.chalmers.se:108668","is_oa":false,"landing_page_url":"http://publications.lib.chalmers.se/publication/108668-array-interpolation-based-on-local-polynomial-approximation-with-application-to-doa-estimation-using","pdf_url":null,"source":{"id":"https://openalex.org/S4377196470","display_name":"Chalmers Publication Library (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":"Text.Article.Conference.PeerReviewed"},{"id":"pmh:oai:research.chalmers.se:108668","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/108668","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":12,"referenced_works":["https://openalex.org/W303874200","https://openalex.org/W653761051","https://openalex.org/W1926228369","https://openalex.org/W2035285861","https://openalex.org/W2097670707","https://openalex.org/W2106372703","https://openalex.org/W2113638573","https://openalex.org/W2151517138","https://openalex.org/W2162654459","https://openalex.org/W2480210587","https://openalex.org/W2541060582","https://openalex.org/W2545914023"],"related_works":["https://openalex.org/W3183609115","https://openalex.org/W2985206855","https://openalex.org/W2387056800","https://openalex.org/W2389908107","https://openalex.org/W2108850688","https://openalex.org/W2354295809","https://openalex.org/W1525419764","https://openalex.org/W2532653122","https://openalex.org/W2359833404","https://openalex.org/W1994390986"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,9,48,70,76],"direction-of-arrival":[3],"(DOA)":[4],"estimation":[5,43],"using":[6,60,74,105],"an":[7,45,87],"array":[8,50],"sensors":[10],"has":[11],"received":[12],"much":[13],"attention":[14],"for":[15],"more":[16],"than":[17],"3":[18],"decades.":[19],"This":[20,52,66],"is":[21,53,84,103],"due":[22],"to":[23,86,119],"a":[24,77,98],"rich":[25],"interest":[26],"from":[27,108],"application":[28],"areas":[29],"such":[30],"as":[31],"radar,":[32],"sonar":[33],"and":[34,114],"wireless":[35],"communication":[36],"channel":[37],"characterization.":[38],"However,":[39],"high":[40],"resolution":[41],"DOA":[42],"requires":[44],"accurate":[46],"model":[47],"the":[49,58,71,109,121],"response.":[51],"usually":[54],"achieved":[55],"by":[56],"measuring":[57],"response":[59,79],"sources":[61],"at":[62],"known":[63],"positions":[64],"(calibration).":[65],"paper":[67],"considers":[68],"interpolation":[69,83,113],"calibration":[72],"measurements":[73],"knowledge":[75],"nominal":[78],"model.":[80],"Standard":[81],"linear":[82],"compared":[85],"approach":[88],"based":[89],"on":[90],"local":[91],"polynomial":[92],"approximation":[93],"(LPA).":[94],"We":[95],"also":[96],"derive":[97],"weighted":[99,115],"MUSIC":[100,116],"estimator,":[101],"which":[102],"applied":[104],"error":[106],"estimates":[107],"interpolation.":[110],"Both":[111],"LPA":[112],"are":[117],"found":[118],"improve":[120],"performance,":[122],"but":[123],"not":[124],"uniformly":[125],"in":[126],"all":[127],"scenarios.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
