{"id":"https://openalex.org/W2026002536","doi":"https://doi.org/10.1109/jstsp.2013.2253084","title":"\u201cStatistics 102\u201d for Multisource-Multitarget Detection and Tracking","display_name":"\u201cStatistics 102\u201d for Multisource-Multitarget Detection and Tracking","publication_year":2013,"publication_date":"2013-03-29","ids":{"openalex":"https://openalex.org/W2026002536","doi":"https://doi.org/10.1109/jstsp.2013.2253084","mag":"2026002536"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2013.2253084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2013.2253084","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in 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/A5006022796","display_name":"Ronald Mahler","orcid":"https://orcid.org/0000-0003-1226-1104"},"institutions":[{"id":"https://openalex.org/I1287521167","display_name":"Lockheed Martin (United States)","ror":"https://ror.org/026er9r08","country_code":"US","type":"company","lineage":["https://openalex.org/I1287521167"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ronald Mahler","raw_affiliation_strings":["Lockheed Martin Advanced Technology Laboratories, Eagan, MN, USA","Lockheed Martin Advanced Techology Laboratories, Eagan"],"affiliations":[{"raw_affiliation_string":"Lockheed Martin Advanced Technology Laboratories, Eagan, MN, USA","institution_ids":["https://openalex.org/I1287521167"]},{"raw_affiliation_string":"Lockheed Martin Advanced Techology Laboratories, Eagan","institution_ids":["https://openalex.org/I1287521167"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006022796"],"corresponding_institution_ids":["https://openalex.org/I1287521167"],"apc_list":null,"apc_paid":null,"fwci":21.4204,"has_fulltext":false,"cited_by_count":107,"citation_normalized_percentile":{"value":0.99398901,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"7","issue":"3","first_page":"376","last_page":"389"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9575999975204468,"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"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9430000185966492,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6498548984527588},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5913151502609253},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5292379856109619},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5232835412025452},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5167109966278076},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5057475566864014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.489729642868042},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4368636906147003},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4324132800102234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.352963924407959},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34867459535598755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33737364411354065},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3255460858345032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31558889150619507},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21507561206817627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6498548984527588},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5913151502609253},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5292379856109619},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5232835412025452},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5167109966278076},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5057475566864014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.489729642868042},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4368636906147003},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4324132800102234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.352963924407959},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34867459535598755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33737364411354065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3255460858345032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31558889150619507},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21507561206817627},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstsp.2013.2253084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2013.2253084","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/56146","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/56146","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W70609629","https://openalex.org/W151959536","https://openalex.org/W625957030","https://openalex.org/W1599875478","https://openalex.org/W1604481327","https://openalex.org/W1615672776","https://openalex.org/W1937024169","https://openalex.org/W1946055319","https://openalex.org/W1985026734","https://openalex.org/W1991744645","https://openalex.org/W1992159523","https://openalex.org/W1993679774","https://openalex.org/W2005839268","https://openalex.org/W2006625858","https://openalex.org/W2014787937","https://openalex.org/W2015083454","https://openalex.org/W2019518416","https://openalex.org/W2023270884","https://openalex.org/W2033804800","https://openalex.org/W2044343239","https://openalex.org/W2046675322","https://openalex.org/W2049244691","https://openalex.org/W2050186700","https://openalex.org/W2053286025","https://openalex.org/W2070407847","https://openalex.org/W2105905583","https://openalex.org/W2105959128","https://openalex.org/W2110354007","https://openalex.org/W2111751426","https://openalex.org/W2121587355","https://openalex.org/W2123378338","https://openalex.org/W2127463002","https://openalex.org/W2140115708","https://openalex.org/W2144617132","https://openalex.org/W2149900846","https://openalex.org/W2153363506","https://openalex.org/W2160113452","https://openalex.org/W2165758957","https://openalex.org/W2169346523","https://openalex.org/W2313745359","https://openalex.org/W2334895121","https://openalex.org/W3021193023","https://openalex.org/W4230618008","https://openalex.org/W4285719527","https://openalex.org/W6635873425","https://openalex.org/W6640232875","https://openalex.org/W6641009178","https://openalex.org/W6652113595","https://openalex.org/W6676480805","https://openalex.org/W6682661551","https://openalex.org/W6776390507"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2080152487","https://openalex.org/W2239445980","https://openalex.org/W2084086966","https://openalex.org/W3083152911","https://openalex.org/W2120455979"],"abstract_inverted_index":{"This":[0],"tutorial":[1],"paper":[2,51,78],"summarizes":[3],"the":[4,25,77,80,88],"motivations,":[5],"concepts":[6],"and":[7,31,39,47,67,86,116],"techniques":[8],"of":[9,18,27,106],"finite-set":[10],"statistics":[11,23,34],"(FISST),":[12],"a":[13],"system-level,":[14],"\u201ctop-down,\u201d":[15],"direct":[16],"generalization":[17],"ordinary":[19],"single-sensor,":[20,62],"single-target":[21,63],"engineering":[22],"to":[24,59,70,83,101],"realm":[26],"multisensor,":[28],"multitarget":[29,97],"detection":[30,46,85],"tracking.":[32],"Finite-set":[33],"provides":[35],"powerful":[36],"new":[37],"conceptual":[38],"computational":[40],"methods":[41],"for":[42],"dealing":[43],"with":[44],"multisensor-multitarget":[45,84,89],"tracking":[48,72],"problems.":[49,73],"The":[50],"describes":[52,79,95],"how":[53,96],"\u201cmultitarget":[54],"integro-differential":[55],"calculus\u201d":[56],"is":[57,99],"used":[58,100],"extend":[60],"conventional":[61],"formal":[64],"Bayesian":[65],"motion":[66],"measurement":[68],"modeling":[69],"general":[71],"Given":[74],"such":[75,110],"models,":[76],"Bayes-optimal":[81],"approach":[82],"tracking:":[87],"recursive":[90],"Bayes":[91],"filter.":[92],"Finally,":[93],"it":[94],"calculus":[98],"derive":[102],"principled":[103],"statistical":[104],"approximations":[105],"this":[107],"optimal":[108],"filter,":[109],"as":[111],"PHD":[112],"filters,":[113,115],"CPHD":[114],"multi-Bernoulli":[117],"filters.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":19},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
