{"id":"https://openalex.org/W2904971312","doi":"https://doi.org/10.1109/iccais.2018.8570545","title":"Heading-Parametrized Multiple Model Method for Bearing-Only Filtering","display_name":"Heading-Parametrized Multiple Model Method for Bearing-Only Filtering","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2904971312","doi":"https://doi.org/10.1109/iccais.2018.8570545","mag":"2904971312"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2018.8570545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013565641","display_name":"Mahendra Mallick","orcid":"https://orcid.org/0000-0002-4836-4431"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahendra Mallick","raw_affiliation_strings":["Independent Consultant, Anacortes, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Consultant, Anacortes, WA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054564234","display_name":"Yanjun Yan","orcid":"https://orcid.org/0000-0002-5152-6614"},"institutions":[{"id":"https://openalex.org/I103406327","display_name":"Western Carolina University","ror":"https://ror.org/010h78f45","country_code":"US","type":"education","lineage":["https://openalex.org/I103406327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanjun Yan","raw_affiliation_strings":["School of Engineering and Technology, Western Carolina University, Cullowhee, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, Western Carolina University, Cullowhee, NC, USA","institution_ids":["https://openalex.org/I103406327"]}]},{"author_position":"last","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"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sanjeev Arulampalam","raw_affiliation_strings":["Defence Science and Technology Group, Department of Defence, Edinburgh, SA, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defence Science and Technology Group, Department of Defence, Edinburgh, SA, Australia","institution_ids":["https://openalex.org/I1303474014"]}]}],"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":1,"citation_normalized_percentile":{"value":0.16176618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"343","last_page":"348"},"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":1.0,"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":1.0,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/heading","display_name":"Heading (navigation)","score":0.9231944680213928},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6961798667907715},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6445461511611938},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.62803053855896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5855516195297241},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5599396824836731},{"id":"https://openalex.org/keywords/cartesian-coordinate-system","display_name":"Cartesian coordinate system","score":0.4823950529098511},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.45426079630851746},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.43173158168792725},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.42343127727508545},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4017169177532196},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34834763407707214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3481234014034271},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3017788529396057},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09787535667419434},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08931812644004822}],"concepts":[{"id":"https://openalex.org/C2776937971","wikidata":"https://www.wikidata.org/wiki/Q4384217","display_name":"Heading (navigation)","level":2,"score":0.9231944680213928},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6961798667907715},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6445461511611938},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.62803053855896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5855516195297241},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5599396824836731},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.4823950529098511},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.45426079630851746},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.43173158168792725},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.42343127727508545},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4017169177532196},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34834763407707214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3481234014034271},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3017788529396057},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09787535667419434},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08931812644004822},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/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/iccais.2018.8570545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W61941016","https://openalex.org/W304861154","https://openalex.org/W1521024521","https://openalex.org/W1531532259","https://openalex.org/W1568122762","https://openalex.org/W1968068537","https://openalex.org/W1983765397","https://openalex.org/W2004958558","https://openalex.org/W2010239608","https://openalex.org/W2014698533","https://openalex.org/W2039921094","https://openalex.org/W2043357888","https://openalex.org/W2054091988","https://openalex.org/W2086285350","https://openalex.org/W2086535527","https://openalex.org/W2104130465","https://openalex.org/W2106040279","https://openalex.org/W2121990344","https://openalex.org/W2123487311","https://openalex.org/W2160337655","https://openalex.org/W2244874236","https://openalex.org/W2401859733","https://openalex.org/W4250908692","https://openalex.org/W6602462348","https://openalex.org/W6653965335"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2026924879","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W1966871700","https://openalex.org/W2536734722","https://openalex.org/W2075742732","https://openalex.org/W1931145652"],"abstract_inverted_index":{"Bearing-only":[0],"filtering":[1,13,69],"in":[2,98],"two":[3],"dimensions":[4],"using":[5,111],"a":[6,10,32,64],"single":[7],"sensor":[8,29],"is":[9,19,25,38],"challenging":[11],"nonlinear":[12],"problem.":[14],"In":[15,47],"filter":[16,84,92],"initialization,":[17],"it":[18],"commonly":[20],"assumed":[21,60],"that":[22],"the":[23,28,42,49,52,77,81,99,106,117,122,127],"target":[24,36,53],"moving":[26],"towards":[27],"and":[30,89,115,124],"then":[31],"large":[33],"interval":[34],"for":[35],"heading":[37,50,75],"used":[39],"to":[40,71],"calculate":[41],"variance":[43],"of":[44,51,76,108,121],"initial":[45],"heading.":[46,61],"reality,":[48],"can":[54],"be":[55],"quite":[56],"different":[57],"from":[58],"this":[59],"We":[62,79,104],"propose":[63],"heading-parametrized":[65],"(HP)":[66],"multiple":[67,101],"model":[68,102],"method":[70],"handle":[72],"an":[73],"arbitrary":[74],"target.":[78],"use":[80],"unscented":[82],"Kalman":[83,91],"with":[85,93,126],"Cartesian":[86],"coordinates":[87,96],"(CUKF)":[88],"extended":[90],"modified":[94],"polar":[95],"(MPCEKF)":[97],"HP":[100],"framework.":[103],"demonstrate":[105],"validity":[107],"our":[109],"approach":[110],"Monte":[112],"Carlo":[113],"simulations":[114],"compare":[116],"state":[118],"estimation":[119],"accuracy":[120],"HP-CUKF":[123],"HP-MPCEKF":[125],"posterior":[128],"Cramer-Rao":[129],"lower":[130],"bound":[131],"(PCRLB).":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
