{"id":"https://openalex.org/W2783155546","doi":"https://doi.org/10.1109/tsp.2017.2775588","title":"A Novel Batch Bayesian WIV Estimator for Three-Dimensional TMA Using Bearing and Elevation Measurements","display_name":"A Novel Batch Bayesian WIV Estimator for Three-Dimensional TMA Using Bearing and Elevation Measurements","publication_year":2017,"publication_date":"2017-11-20","ids":{"openalex":"https://openalex.org/W2783155546","doi":"https://doi.org/10.1109/tsp.2017.2775588","mag":"2783155546"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2017.2775588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2775588","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 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/A5014317178","display_name":"Laleh Badriasl","orcid":"https://orcid.org/0000-0002-7116-7065"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Laleh Badriasl","raw_affiliation_strings":["Defence and System Institute, University of South Australia, Mawson Lakes, SA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7116-7065","affiliations":[{"raw_affiliation_string":"Defence and System Institute, University of South Australia, Mawson Lakes, SA, Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028610249","display_name":"Sanjeev Arulampalam","orcid":"https://orcid.org/0000-0003-3557-3258"},"institutions":[{"id":"https://openalex.org/I1303474014","display_name":"Defence Science and Technology Group","ror":"https://ror.org/05ddrvt52","country_code":"AU","type":"government","lineage":["https://openalex.org/I1303474014","https://openalex.org/I2801453606","https://openalex.org/I3139952251"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sanjeev Arulampalam","raw_affiliation_strings":["Maritime Division, Defence Science and Technology Group, Edinburgh, SA, Australia","School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maritime Division, Defence Science and Technology Group, Edinburgh, SA, Australia","institution_ids":["https://openalex.org/I1303474014"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009695968","display_name":"Anthony Finn","orcid":"https://orcid.org/0000-0002-2690-0838"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anthony Finn","raw_affiliation_strings":["Defence and System Institute, University of South Australia, Mawson Lakes, SA, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defence and System Institute, University of South Australia, Mawson Lakes, SA, Australia","institution_ids":["https://openalex.org/I170239107"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9969,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.83332056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"66","issue":"4","first_page":"1023","last_page":"1036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9973000288009644,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9945999979972839,"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/estimator","display_name":"Estimator","score":0.7628633975982666},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.5569223165512085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.550446629524231},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5390583276748657},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5141447186470032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4760456085205078},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.4701395630836487},{"id":"https://openalex.org/keywords/minimax-estimator","display_name":"Minimax estimator","score":0.4367367625236511},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.41246429085731506},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.41120463609695435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3591632843017578},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3527200520038605},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.321427583694458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2071772813796997},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.13193601369857788}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7628633975982666},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.5569223165512085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.550446629524231},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5390583276748657},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5141447186470032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4760456085205078},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.4701395630836487},{"id":"https://openalex.org/C133939421","wikidata":"https://www.wikidata.org/wiki/Q6865379","display_name":"Minimax estimator","level":4,"score":0.4367367625236511},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.41246429085731506},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.41120463609695435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3591632843017578},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3527200520038605},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.321427583694458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2071772813796997},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.13193601369857788},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2017.2775588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2775588","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:urm_publish:9916167911601831","is_oa":false,"landing_page_url":"https://hdl.handle.net/11541.2/129894","pdf_url":null,"source":{"id":"https://openalex.org/S4306402528","display_name":"UniSA Research Outputs Repository (University of South Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170239107","host_organization_name":"University of South Australia","host_organization_lineage":["https://openalex.org/I170239107"],"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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1460189015","https://openalex.org/W1507322379","https://openalex.org/W1513008779","https://openalex.org/W1516441385","https://openalex.org/W1531532259","https://openalex.org/W1536252645","https://openalex.org/W1568122762","https://openalex.org/W1968068537","https://openalex.org/W1987263538","https://openalex.org/W2005452565","https://openalex.org/W2014194162","https://openalex.org/W2016059313","https://openalex.org/W2020934227","https://openalex.org/W2040067436","https://openalex.org/W2042835709","https://openalex.org/W2051749895","https://openalex.org/W2065766632","https://openalex.org/W2077831870","https://openalex.org/W2089286422","https://openalex.org/W2096126935","https://openalex.org/W2096403282","https://openalex.org/W2104130465","https://openalex.org/W2104239922","https://openalex.org/W2105148277","https://openalex.org/W2108696877","https://openalex.org/W2117658926","https://openalex.org/W2120833567","https://openalex.org/W2135468579","https://openalex.org/W2140872360","https://openalex.org/W2142616394","https://openalex.org/W2159249588","https://openalex.org/W2159280716","https://openalex.org/W2160337655","https://openalex.org/W2165996196","https://openalex.org/W2193142622","https://openalex.org/W2405058386","https://openalex.org/W2534882555","https://openalex.org/W2582619900","https://openalex.org/W4229628595","https://openalex.org/W4300124000"],"related_works":["https://openalex.org/W1990727401","https://openalex.org/W1976770238","https://openalex.org/W2171108984","https://openalex.org/W2036696807","https://openalex.org/W3021510379","https://openalex.org/W2912798297","https://openalex.org/W2156549393","https://openalex.org/W2160772450","https://openalex.org/W2338807315","https://openalex.org/W2106799280"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"derive":[4],"a":[5,43,96,106],"novel":[6],"batch":[7],"Bayesian":[8],"weighted":[9],"instrumental":[10,34],"variable":[11],"estimator":[12,79],"for":[13,124],"the":[14,36,47,68,71,77,92,116],"three-dimensional":[15],"(3D)":[16],"target":[17],"motion":[18],"analysis":[19],"(TMA)":[20],"problem":[21],"using":[22],"bearing":[23],"and":[24,50,84],"elevation":[25],"measurements.":[26],"Unlike":[27],"most":[28],"existing":[29],"3D":[30],"estimators":[31],"based":[32],"on":[33,89],"variables,":[35],"proposed":[37,78,117],"approach":[38,118],"is":[39,51,63],"able":[40],"to":[41,53,66],"incorporate":[42],"priori":[44],"information":[45],"into":[46],"estimation":[48,87],"process":[49],"proven":[52],"be":[54],"approximately":[55],"asymptotically":[56],"unbiased.":[57],"An":[58],"approximate":[59],"asymptotic":[60],"covariance":[61],"matrix":[62],"also":[64],"presented":[65],"evaluate":[67],"performance":[69,88],"of":[70,102],"estimator.":[72],"Simulation":[73],"results":[74],"show":[75],"that":[76,115],"outperforms":[80],"its":[81],"non-Bayesian":[82],"counterpart":[83],"has":[85],"an":[86,121],"par":[90],"with":[91],"conventional":[93],"iterative":[94],"maximum":[95],"posteriori":[97],"estimator,":[98],"while":[99],"being":[100],"orders":[101],"magnitude":[103],"faster":[104],"in":[105],"passive":[107],"sonar":[108],"TMA":[109],"problem.":[110],"Moreover,":[111],"it":[112],"was":[113],"shown":[114],"can":[119],"provide":[120],"accurate":[122],"initialization":[123],"recursive":[125],"estimators.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-01-26T00:00:00"}
