{"id":"https://openalex.org/W3087245788","doi":"https://doi.org/10.3390/s20185387","title":"Extended Target Marginal Distribution Poisson Multi-Bernoulli Mixture Filter","display_name":"Extended Target Marginal Distribution Poisson Multi-Bernoulli Mixture Filter","publication_year":2020,"publication_date":"2020-09-20","ids":{"openalex":"https://openalex.org/W3087245788","doi":"https://doi.org/10.3390/s20185387","mag":"3087245788","pmid":"https://pubmed.ncbi.nlm.nih.gov/32962273"},"language":"en","primary_location":{"id":"doi:10.3390/s20185387","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20185387","pdf_url":"https://www.mdpi.com/1424-8220/20/18/5387/pdf?version=1600737891","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/1424-8220/20/18/5387/pdf?version=1600737891","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035913277","display_name":"Haocui Du","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":"Haocui Du","raw_affiliation_strings":["Automatic Target Recognition (ATR) Key Laboratory, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Automatic Target Recognition (ATR) Key Laboratory, Shenzhen University, Shenzhen 518060, 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":true,"raw_author_name":"Weixin Xie","raw_affiliation_strings":["Automatic Target Recognition (ATR) Key Laboratory, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Automatic Target Recognition (ATR) Key Laboratory, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108515305"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.4114,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69967613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"20","issue":"18","first_page":"5387","last_page":"5387"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9380000233650208,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.92330002784729,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/inverse-wishart-distribution","display_name":"Inverse-Wishart distribution","score":0.8798012733459473},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7666811347007751},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.7319634556770325},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6163415908813477},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.58905029296875},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.5743157267570496},{"id":"https://openalex.org/keywords/marginal-distribution","display_name":"Marginal distribution","score":0.5731584429740906},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5611687898635864},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5452109575271606},{"id":"https://openalex.org/keywords/inverse-gaussian-distribution","display_name":"Inverse Gaussian distribution","score":0.518826425075531},{"id":"https://openalex.org/keywords/bernoulli-distribution","display_name":"Bernoulli distribution","score":0.5066555142402649},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46830928325653076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46757131814956665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4254949688911438},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.3841361999511719},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2813331186771393},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16259637475013733},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.15011104941368103},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.1304406225681305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12068480253219604},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09392839670181274},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07881307601928711},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07765376567840576}],"concepts":[{"id":"https://openalex.org/C40851411","wikidata":"https://www.wikidata.org/wiki/Q3258368","display_name":"Inverse-Wishart distribution","level":4,"score":0.8798012733459473},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7666811347007751},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.7319634556770325},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6163415908813477},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.58905029296875},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.5743157267570496},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.5731584429740906},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5611687898635864},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5452109575271606},{"id":"https://openalex.org/C132878287","wikidata":"https://www.wikidata.org/wiki/Q1671727","display_name":"Inverse Gaussian distribution","level":3,"score":0.518826425075531},{"id":"https://openalex.org/C27956954","wikidata":"https://www.wikidata.org/wiki/Q391371","display_name":"Bernoulli distribution","level":3,"score":0.5066555142402649},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46830928325653076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46757131814956665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4254949688911438},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3841361999511719},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2813331186771393},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16259637475013733},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.15011104941368103},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.1304406225681305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12068480253219604},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09392839670181274},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07881307601928711},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07765376567840576},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20185387","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20185387","pdf_url":"https://www.mdpi.com/1424-8220/20/18/5387/pdf?version=1600737891","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:32962273","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32962273","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:ddf19ff48c2e4a5d93d2891ead9e126f","is_oa":true,"landing_page_url":"https://doaj.org/article/ddf19ff48c2e4a5d93d2891ead9e126f","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 20, Iss 18, p 5387 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/18/5387/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20185387","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 20; Issue 18; Pages: 5387","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7570961","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7570961","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/s20185387","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20185387","pdf_url":"https://www.mdpi.com/1424-8220/20/18/5387/pdf?version=1600737891","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3087245788.pdf","grobid_xml":"https://content.openalex.org/works/W3087245788.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1535831172","https://openalex.org/W1595100732","https://openalex.org/W1709455389","https://openalex.org/W1959279866","https://openalex.org/W1966447678","https://openalex.org/W1974801345","https://openalex.org/W1977493979","https://openalex.org/W1993235647","https://openalex.org/W2007097714","https://openalex.org/W2015919607","https://openalex.org/W2018275473","https://openalex.org/W2020324514","https://openalex.org/W2058568645","https://openalex.org/W2078812312","https://openalex.org/W2084551895","https://openalex.org/W2091365726","https://openalex.org/W2097355360","https://openalex.org/W2098015347","https://openalex.org/W2106873007","https://openalex.org/W2144598923","https://openalex.org/W2156385851","https://openalex.org/W2163015601","https://openalex.org/W2170790908","https://openalex.org/W2238582461","https://openalex.org/W2296664252","https://openalex.org/W2319589475","https://openalex.org/W2400776833","https://openalex.org/W2514570524","https://openalex.org/W2588070846","https://openalex.org/W2759143063","https://openalex.org/W2902604810","https://openalex.org/W2915256504","https://openalex.org/W2919708372","https://openalex.org/W2945895672","https://openalex.org/W2964064111","https://openalex.org/W2969586367","https://openalex.org/W2973028587","https://openalex.org/W2982157365","https://openalex.org/W3009549594","https://openalex.org/W3033488784","https://openalex.org/W3041525204","https://openalex.org/W3101703006","https://openalex.org/W4211164258","https://openalex.org/W4244635056","https://openalex.org/W6704306196","https://openalex.org/W6713260851","https://openalex.org/W6725328698","https://openalex.org/W6759169645","https://openalex.org/W6769874419","https://openalex.org/W6875890287"],"related_works":["https://openalex.org/W2007306748","https://openalex.org/W2990893867","https://openalex.org/W2379940032","https://openalex.org/W2950329390","https://openalex.org/W1595100732","https://openalex.org/W2514570524","https://openalex.org/W3087245788","https://openalex.org/W2513336754","https://openalex.org/W2948034885","https://openalex.org/W2400776833"],"abstract_inverted_index":{"The":[0,74],"existence":[1,58],"of":[2,9,32,60,82],"clutter,":[3],"unknown":[4,7],"measurement":[5],"sources,":[6],"number":[8],"targets,":[10],"and":[11,56,80],"undetected":[12],"probability":[13,59],"are":[14],"problems":[15],"for":[16],"multi-extended":[17],"target":[18,45],"tracking,":[19],"to":[20],"address":[21],"these":[22],"problems;":[23],"this":[24],"paper":[25],"proposes":[26],"a":[27,33],"gamma-Gaussian-inverse":[28],"Wishart":[29],"(GGIW)":[30],"implementation":[31],"marginal":[34,53],"distribution":[35,54],"Poisson":[36],"multi-Bernoulli":[37],"mixture":[38],"(MD-PMBM)":[39],"filter.":[40,85],"Unlike":[41],"existing":[42],"multiple":[43],"extended":[44],"tracking":[46,72],"filters,":[47],"the":[48,52,57,66,78,83],"GGIW-MD-PMBM":[49,84],"filter":[50],"computes":[51],"(MD)":[55],"each":[61],"target,":[62],"which":[63],"can":[64],"shorten":[65],"computing":[67],"time":[68],"while":[69],"maintaining":[70],"good":[71],"results.":[73],"simulation":[75],"results":[76],"confirm":[77],"validity":[79],"reliability":[81]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}