{"id":"https://openalex.org/W2031323152","doi":"https://doi.org/10.1109/sam.2012.6250487","title":"Copy correlation direction-of-arrival estimation performance","display_name":"Copy correlation direction-of-arrival estimation performance","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2031323152","doi":"https://doi.org/10.1109/sam.2012.6250487","mag":"2031323152"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2012.6250487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2012.6250487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5017517054","display_name":"Christ D. Richmond","orcid":"https://orcid.org/0000-0001-6392-0267"},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Christ D. Richmond","raw_affiliation_strings":["MIT Lincoln Laboratory, Lexington, MA, USA","[MIT Lincoln Laboratory, Lexington, MA 02420, USA]"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, MA, USA","institution_ids":["https://openalex.org/I4210122954"]},{"raw_affiliation_string":"[MIT Lincoln Laboratory, Lexington, MA 02420, USA]","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056318072","display_name":"Keith W. Forsythe","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keith W. Forsythe","raw_affiliation_strings":["MIT Lincoln Laboratory, Lexington, MA, USA","[MIT Lincoln Laboratory, Lexington, MA 02420, USA]"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, MA, USA","institution_ids":["https://openalex.org/I4210122954"]},{"raw_affiliation_string":"[MIT Lincoln Laboratory, Lexington, MA 02420, USA]","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076269380","display_name":"Christopher R. Flynn","orcid":null},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]},{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher R. Flynn","raw_affiliation_strings":["Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA, US","Stevens Institute of Technology, New Jersey, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA, US","institution_ids":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]},{"raw_affiliation_string":"Stevens Institute of Technology, New Jersey, USA","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017517054"],"corresponding_institution_ids":["https://openalex.org/I4210122954","https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.2482,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"273","last_page":"276"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9937000274658203,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.993399977684021,"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/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6899935007095337},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6562728881835938},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6245945692062378},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6150580644607544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5969988703727722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5952644348144531},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5058662295341492},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4730110466480255},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4222412705421448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30571436882019043}],"concepts":[{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6899935007095337},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6562728881835938},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6245945692062378},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6150580644607544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5969988703727722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5952644348144531},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5058662295341492},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4730110466480255},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4222412705421448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30571436882019043},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam.2012.6250487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2012.6250487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W138234281","https://openalex.org/W210359992","https://openalex.org/W1663612341","https://openalex.org/W2050028946","https://openalex.org/W2094765578","https://openalex.org/W2142024259","https://openalex.org/W4230727635","https://openalex.org/W6605657993"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W62490179","https://openalex.org/W2954004777","https://openalex.org/W2951102138","https://openalex.org/W1568403290"],"abstract_inverted_index":{"The":[0],"mean":[1],"squared":[2],"error":[3,30,104],"performance":[4,120],"of":[5,13,25,28,125],"a":[6,46,122],"copy":[7,52],"weight":[8],"correlation":[9],"(CC)":[10],"based":[11],"method":[12,27,41],"angle":[14],"estimation":[15],"proposed":[16],"by":[17,114],"Forsythe":[18],"and":[19,116],"Richmond":[20],"is":[21,33,99],"studied":[22],"via":[23],"application":[24],"the":[26,39,45,51,60,77,103,110],"interval":[29],"(MIE).":[31],"It":[32,98],"demonstrated":[34],"that":[35,102],"at":[36,55],"low":[37],"SNRs":[38,57],"CC":[40],"leans":[42],"heavily":[43],"on":[44],"priori":[47],"information":[48,66],"embedded":[49],"in":[50,107],"weight,":[53],"but":[54,81],"high":[56],"reverts":[58],"to":[59,89,93],"Capon":[61],"algorithm":[62],"estimate.":[63],"This":[64],"prior":[65],"can":[67,75],"be":[68],"quite":[69],"advantageous":[70],"when":[71],"accurate":[72],"(e.g.":[73,91],"it":[74],"mitigate":[76],"threshold":[78,111],"effect":[79],"altogether),":[80],"possibly":[82],"detrimental":[83],"if":[84],"either":[85],"inaccurate":[86],"or":[87],"difficult":[88],"match":[90],"due":[92],"poorly":[94],"known":[95],"array":[96],"calibration).":[97],"shown":[100],"here":[101],"probabilities":[105],"used":[106],"MIE":[108],"capture":[109],"effects":[112],"induced":[113],"mismatch,":[115],"correctly":[117],"predict":[118],"MSE":[119],"over":[121],"wide":[123],"range":[124],"scenarios.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}