{"id":"https://openalex.org/W2890337405","doi":"https://doi.org/10.1109/access.2018.2869402","title":"Constrained Multiple Model Particle Filtering for Bearings-Only Maneuvering Target Tracking","display_name":"Constrained Multiple Model Particle Filtering for Bearings-Only Maneuvering Target Tracking","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2890337405","doi":"https://doi.org/10.1109/access.2018.2869402","mag":"2890337405"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2869402","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2869402","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2869402","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057855857","display_name":"Hongwei Zhang","orcid":"https://orcid.org/0000-0001-9417-0008"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Zhang","raw_affiliation_strings":["ATR Key Laboratory, Shenzhen University, Shenzhen, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"ATR Key Laboratory, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039358911","display_name":"Liangqun Li","orcid":"https://orcid.org/0000-0002-8063-9175"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangqun Li","raw_affiliation_strings":["ATR Key Laboratory, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"ATR Key Laboratory, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108515305","display_name":"Weixin Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixin Xie","raw_affiliation_strings":["ATR Key Laboratory, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"ATR Key Laboratory, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057855857"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.769,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.92518575,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"51721","last_page":"51734"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9843999743461609,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/particle-filter","display_name":"Particle filter","score":0.6672776937484741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.554628312587738},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5446751117706299},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.5260950326919556},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5160250663757324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5112261772155762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3506745398044586},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3344722390174866},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.21949723362922668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21264177560806274},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.12448194622993469},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.10997828841209412}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6672776937484741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.554628312587738},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5446751117706299},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.5260950326919556},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5160250663757324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5112261772155762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3506745398044586},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3344722390174866},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.21949723362922668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21264177560806274},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.12448194622993469},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.10997828841209412},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2869402","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2869402","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:96707c5e88fb443daeaad5282e2ea409","is_oa":true,"landing_page_url":"https://doaj.org/article/96707c5e88fb443daeaad5282e2ea409","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 51721-51734 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2869402","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2869402","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5876160557","display_name":null,"funder_award_id":"61773267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1418712174","https://openalex.org/W1994128753","https://openalex.org/W2042845763","https://openalex.org/W2077831870","https://openalex.org/W2098613108","https://openalex.org/W2111787305","https://openalex.org/W2124156864","https://openalex.org/W2137345842","https://openalex.org/W2140242774","https://openalex.org/W2140745919","https://openalex.org/W2157066499","https://openalex.org/W2167526968","https://openalex.org/W2341285855","https://openalex.org/W2435929395","https://openalex.org/W2502569300","https://openalex.org/W2578579619","https://openalex.org/W2579084038","https://openalex.org/W2606578212","https://openalex.org/W2609111225","https://openalex.org/W2609216084","https://openalex.org/W2615360983","https://openalex.org/W3087215779","https://openalex.org/W4235488382","https://openalex.org/W6676780147"],"related_works":["https://openalex.org/W2368144031","https://openalex.org/W3144709167","https://openalex.org/W2355962871","https://openalex.org/W2127981223","https://openalex.org/W2162253570","https://openalex.org/W2593675237","https://openalex.org/W1824810860","https://openalex.org/W2109576686","https://openalex.org/W2382411933","https://openalex.org/W2070455225"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"effective":[4],"constrained":[5,91],"multiple":[6,52],"model":[7,32,65,78],"particle":[8],"filtering":[9,37],"(CMMPF)":[10],"for":[11,199,206],"bearings-only":[12,201],"maneuvering":[13],"target":[14,23,46,202],"tracking.":[15],"In":[16],"the":[17,20,40,45,64,77,85,90,94,109,121,126,167,174,180,186,200,207],"proposed":[18],"algorithm,":[19],"process":[21],"of":[22,125,173,182],"tracking":[24,130,203],"is":[25,49,73,105,132,161],"factorized":[26],"into":[27,84],"two":[28,141],"sub-problems:":[29],"1)":[30,143],"motion":[31],"estimation":[33],"and":[34,43,112,123,134,145,149,152,164,197,209],"model-conditioned":[35,95],"state":[36,96],"according":[38],"to":[39,75,194],"Rao-Blackwellised":[41],"theorem":[42],"2)":[44,150],"dynamic":[47,54],"system":[48,60],"modeled":[50],"by":[51,107],"switching":[53],"models":[55],"in":[56,140,190],"a":[57,67,99],"jump":[58],"Markov":[59],"framework.":[61],"To":[62,93],"estimate":[63],"set,":[66],"modified":[68],"sequential":[69],"importance":[70],"resampling":[71],"method":[72],"used":[74],"draw":[76],"particles,":[79],"which":[80,118],"can":[81,119],"be":[82],"restricted":[83],"feasible":[86],"area":[87],"coincide":[88],"with":[89,136,166,192],"bound.":[92],"nonlinear":[97],"filtering,":[98],"truncated":[100],"prior":[101],"probability":[102],"density":[103],"function":[104],"constructed":[106],"utilizing":[108],"latest":[110],"observations":[111],"auxiliary":[113],"variables":[114],"(target":[115],"spatio-temporal":[116],"features),":[117],"guarantee":[120],"diversity":[122],"accuracy":[124],"sampled":[127],"particles.":[128],"The":[129],"performance":[131,172],"compared":[133,165],"analyzed":[135],"other":[137,187],"conventional":[138],"filters":[139],"scenarios:":[142],"uniform":[144],"time-invariant":[146],"sampling":[147,154,211],"scenario":[148],"non-uniform":[151],"sparse":[153,210],"scenario.":[155],"A":[156],"conservative":[157],"Cramer-Rao":[158],"lower":[159],"bound":[160],"also":[162],"introduced":[163],"root":[168],"mean":[169],"square":[170],"error":[171],"suboptimal":[175],"filters.":[176],"Simulation":[177],"results":[178],"confirm":[179],"superiority":[181],"CMMPF":[183],"algorithm":[184],"over":[185],"existing":[188],"ones":[189],"comparison":[191],"respect":[193],"accuracy,":[195],"efficiency,":[196],"robustness":[198],"system,":[204],"especially":[205],"aperiodic":[208],"environment.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}