{"id":"https://openalex.org/W2771590910","doi":"https://doi.org/10.3390/s17122865","title":"Markov Chain Realization of Joint Integrated Probabilistic Data Association","display_name":"Markov Chain Realization of Joint Integrated Probabilistic Data Association","publication_year":2017,"publication_date":"2017-12-10","ids":{"openalex":"https://openalex.org/W2771590910","doi":"https://doi.org/10.3390/s17122865","mag":"2771590910","pmid":"https://pubmed.ncbi.nlm.nih.gov/29232872"},"language":"en","primary_location":{"id":"doi:10.3390/s17122865","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17122865","pdf_url":"https://www.mdpi.com/1424-8220/17/12/2865/pdf?version=1512902457","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/17/12/2865/pdf?version=1512902457","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018142326","display_name":"Eui Hoon Lee","orcid":"https://orcid.org/0000-0002-7596-3368"},"institutions":[{"id":"https://openalex.org/I2801036362","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85","country_code":"KR","type":"government","lineage":["https://openalex.org/I1327899338","https://openalex.org/I1344042128","https://openalex.org/I2801036362","https://openalex.org/I2801339556"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eui Lee","raw_affiliation_strings":["5th Development Division, Agency for Defense Development, P.O.Box 35, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"5th Development Division, Agency for Defense Development, P.O.Box 35, Daejeon, Korea","institution_ids":["https://openalex.org/I2801036362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684853","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0003-1570-5380"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["Department of Electronic Systems Engineering, Hanyang University, Ansan, 15588, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems Engineering, Hanyang University, Ansan, 15588, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028365881","display_name":"Taek Lyul Song","orcid":"https://orcid.org/0000-0003-1451-1787"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Taek Song","raw_affiliation_strings":["Department of Electronic Systems Engineering, Hanyang University, Ansan, 15588, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems Engineering, Hanyang University, Ansan, 15588, Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028365881"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.2462,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85649371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"12","first_page":"2865","last_page":"2865"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9789000153541565,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.928600013256073,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.774483323097229},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.7223238945007324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6619107127189636},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.642128586769104},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5117699503898621},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48749256134033203},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4743584394454956},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.43672361969947815},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4271162152290344},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.41865792870521545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3079172372817993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2153368890285492},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16556477546691895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15924856066703796},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.0918809175491333}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.774483323097229},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.7223238945007324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6619107127189636},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.642128586769104},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5117699503898621},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48749256134033203},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4743584394454956},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.43672361969947815},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4271162152290344},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.41865792870521545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3079172372817993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2153368890285492},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16556477546691895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15924856066703796},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0918809175491333},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s17122865","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17122865","pdf_url":"https://www.mdpi.com/1424-8220/17/12/2865/pdf?version=1512902457","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:29232872","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29232872","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:98b9faf78c5f4d4d9496b4848e0c6e57","is_oa":true,"landing_page_url":"https://doaj.org/article/98b9faf78c5f4d4d9496b4848e0c6e57","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":"Sensors, Vol 17, Iss 12, p 2865 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/17/12/2865/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s17122865","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 17; Issue 12; Pages: 2865","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5750805","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5750805","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s17122865","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17122865","pdf_url":"https://www.mdpi.com/1424-8220/17/12/2865/pdf?version=1512902457","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2771590910.pdf","grobid_xml":"https://content.openalex.org/works/W2771590910.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W576301840","https://openalex.org/W1815445572","https://openalex.org/W1909771825","https://openalex.org/W2001988192","https://openalex.org/W2011833091","https://openalex.org/W2013151737","https://openalex.org/W2014787937","https://openalex.org/W2035365447","https://openalex.org/W2106873007","https://openalex.org/W2110354007","https://openalex.org/W2127021804","https://openalex.org/W2127923214","https://openalex.org/W2139238196","https://openalex.org/W2141080731","https://openalex.org/W2154616225","https://openalex.org/W2165948751","https://openalex.org/W2519679787","https://openalex.org/W2609096235"],"related_works":["https://openalex.org/W2139793004","https://openalex.org/W2097396029","https://openalex.org/W2379651310","https://openalex.org/W4297796009","https://openalex.org/W2172267623","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W1513162701","https://openalex.org/W2084326697","https://openalex.org/W1843307665"],"abstract_inverted_index":{"A":[0,99,146],"practical":[1],"probabilistic":[2,95,110],"data":[3,18,83,96,111],"association":[4,19,84,97,112,160],"filter":[5],"is":[6,61,77,117,154,167],"proposed":[7,62,190,207],"for":[8,38,72,114,141],"tracking":[9,75,116,144],"multiple":[10,73],"targets":[11,45],"in":[12,46,50],"clutter.":[13],"The":[14,136],"number":[15,25,30,128],"of":[16,26,31,42,67,89,92,125,129,150,178,188,205],"joint":[17,69,93],"events":[20,70],"increases":[21],"combinatorially":[22],"with":[23,102,194],"the":[24,29,81,87,103,108,126,142,158,164,172,180,189,195,203,206],"measurements":[27],"and":[28,86,184],"targets,":[32],"which":[33],"may":[34],"become":[35],"computationally":[36,147],"impractical":[37],"even":[39],"small":[40],"numbers":[41],"closely":[43],"located":[44],"real":[47],"target-tracking":[48],"applications":[49],"heavily":[51],"cluttered":[52],"environments.":[53],"In":[54],"this":[55],"paper,":[56],"a":[57,65,121,176],"Markov":[58,100],"chain":[59,101],"model":[60],"to":[63,79,119,156,171,201],"generate":[64,120],"set":[66,149],"feasible":[68],"(FJEs)":[71],"target":[74,90,185],"that":[76,163],"used":[78],"approximate":[80],"multi-target":[82,143],"probabilities":[85,88,105,161],"existence":[91],"integrated":[94,109],"(JIPDA).":[98],"transition":[104],"obtained":[106],"from":[107],"(IPDA)":[113],"single-target":[115],"designed":[118],"random":[122,152],"sequence":[123],"composed":[124],"predetermined":[127],"FJEs":[130,137],"without":[131],"incurring":[132],"additional":[133],"computational":[134,165],"cost.":[135],"generated":[138],"are":[139,192],"adjusted":[140],"environment.":[145],"tractable":[148],"these":[151],"sequences":[153],"utilized":[155],"evaluate":[157],"track-to-measurement":[159],"such":[162],"burden":[166],"substantially":[168],"reduced":[169],"compared":[170,193],"JIPDA":[173,200],"algorithm.":[174,208],"By":[175],"series":[177],"simulations,":[179],"track":[181],"confirmation":[182],"rates":[183],"retention":[186],"statistics":[187],"algorithm":[191],"other":[196],"existing":[197],"algorithms":[198],"including":[199],"show":[202],"effectiveness":[204]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}