{"id":"https://openalex.org/W2134754801","doi":"https://doi.org/10.1109/tassp.1985.1164763","title":"Optimal delay estimation in a multiple sensor array having spatially correlated noise","display_name":"Optimal delay estimation in a multiple sensor array having spatially correlated noise","publication_year":1985,"publication_date":"1985-12-01","ids":{"openalex":"https://openalex.org/W2134754801","doi":"https://doi.org/10.1109/tassp.1985.1164763","mag":"2134754801"},"language":"en","primary_location":{"id":"doi:10.1109/tassp.1985.1164763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tassp.1985.1164763","pdf_url":null,"source":{"id":"https://openalex.org/S98930721","display_name":"IEEE Transactions on Acoustics Speech and Signal Processing","issn_l":"0096-3518","issn":["0096-3518"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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 Acoustics, Speech, and Signal Processing","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/A5091404066","display_name":"R.L. Kirlin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Kirlin","raw_affiliation_strings":["Department of Electrical Engineering, University of Wurzburg, Laramie, WY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Wurzburg, Laramie, WY, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085325521","display_name":"Lois A. Dewey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Dewey","raw_affiliation_strings":["Department of Electrical Engineering, University of Wurzburg, Laramie, WY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Wurzburg, Laramie, WY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"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":8,"citation_normalized_percentile":{"value":0.27373824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"33","issue":"6","first_page":"1387","last_page":"1396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9957000017166138,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/fisher-information","display_name":"Fisher information","score":0.6872437596321106},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6818157434463501},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6565253734588623},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6275386810302734},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.581974446773529},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5374496579170227},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.4711533784866333},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.46389320492744446},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.44389891624450684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4438459575176239},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.43907150626182556},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4337088167667389},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4313846230506897},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.42574164271354675},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42555463314056396},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4158168435096741},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3837619721889496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3836731016635895},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30766651034355164},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2410951554775238},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19171541929244995},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1644362509250641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11660918593406677},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09681195020675659}],"concepts":[{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.6872437596321106},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6818157434463501},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6565253734588623},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6275386810302734},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.581974446773529},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5374496579170227},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.4711533784866333},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.46389320492744446},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.44389891624450684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4438459575176239},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.43907150626182556},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4337088167667389},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4313846230506897},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.42574164271354675},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42555463314056396},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4158168435096741},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3837619721889496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3836731016635895},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30766651034355164},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2410951554775238},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19171541929244995},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1644362509250641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11660918593406677},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09681195020675659},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tassp.1985.1164763","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tassp.1985.1164763","pdf_url":null,"source":{"id":"https://openalex.org/S98930721","display_name":"IEEE Transactions on Acoustics Speech and Signal Processing","issn_l":"0096-3518","issn":["0096-3518"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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 Acoustics, Speech, and Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1735927951","https://openalex.org/W1993598632","https://openalex.org/W2018455674","https://openalex.org/W2041511769","https://openalex.org/W2061735630","https://openalex.org/W2155729187","https://openalex.org/W2161459013"],"related_works":["https://openalex.org/W2761687035","https://openalex.org/W2048681889","https://openalex.org/W1976418043","https://openalex.org/W2079661423","https://openalex.org/W2121830377","https://openalex.org/W2034497347","https://openalex.org/W3141311622","https://openalex.org/W2093904392","https://openalex.org/W2119794314","https://openalex.org/W2134754801"],"abstract_inverted_index":{"The":[0,91],"maximal":[1],"likelihood":[2],"(ML)":[3],"estimation":[4],"of":[5,28,32,70,100,121],"time-of-arrival":[6],"differences":[7,39],"for":[8,85,110,146],"signals":[9],"from":[10],"a":[11,29],"single":[12],"source":[13],"or":[14,40],"target":[15,43],"arriving":[16],"at":[17,132],"<tex":[18],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[19],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M":[20],"\\geq":[21],"2</tex>":[22],"sensors":[23],"has":[24,49],"been":[25],"the":[26,74,80,86,98,140],"subject":[27],"large":[30],"number":[31],"papers":[33],"in":[34,73,126,139],"recent":[35],"years.":[36],"These":[37],"time":[38],"delays":[41,76],"enable":[42],"location.":[44],"Nearly":[45],"all":[46,56],"previous":[47],"work":[48],"assumed":[50],"noises":[51,59],"which":[52,96,155],"are":[53,60,108,142],"independent":[54],"among":[55],"sensors.":[57,67],"Herein,":[58],"taken":[61],"to":[62,153],"have":[63],"complex":[64,147],"correlation":[65],"between":[66],"A":[68],"set":[69],"nonlinear":[71],"equations":[72],"unknown":[75],"is":[77,88,97],"derived":[78],"and":[79,116,129],"Fisher":[81],"information":[82],"matrix":[83,93],"(FIM)":[84],"estimates":[87],"also":[89],"derived.":[90],"Cramer-Rao":[92],"bound":[94,141],"(CRMB),":[95],"inverse":[99],"FIM,":[101],"shows":[102],"optimal":[103],"estimator":[104],"covariances.":[105],"Computer":[106],"evaluations":[107],"plotted":[109],"CRMB":[111],"elements":[112],"with":[113,150],"varied":[114],"SNR":[115],"noise":[117,125,148],"covariance":[118],"values":[119],"typical":[120],"turbulent":[122],"boundary":[123],"layer":[124],"towed":[127],"arrays":[128],"signal":[130],"sources":[131],"infinite":[133],"range":[134],"(plane-wave":[135],"fronts).":[136],"Maximum":[137],"changes":[138],"within":[143],"\u00b13":[144],"dB":[145],"correlations":[149],"magnitudes":[151],"up":[152],"0.4,":[154],"we":[156],"tested.":[157]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
