{"id":"https://openalex.org/W1965720942","doi":"https://doi.org/10.1109/lsp.2009.2017474","title":"Multiple Model Multiple Hypothesis Filter With Sojourn-Time-Dependent Semi-Markov Switching","display_name":"Multiple Model Multiple Hypothesis Filter With Sojourn-Time-Dependent Semi-Markov Switching","publication_year":2009,"publication_date":"2009-04-24","ids":{"openalex":"https://openalex.org/W1965720942","doi":"https://doi.org/10.1109/lsp.2009.2017474","mag":"1965720942"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2009.2017474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2009.2017474","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5101989685","display_name":"Rong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I28490864","display_name":"DSO National Laboratories","ror":"https://ror.org/03e05fb06","country_code":"SG","type":"nonprofit","lineage":["https://openalex.org/I28490864"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"R. Yang","raw_affiliation_strings":["DSO National Laboratories, Singapore","DSO National Laboratories; Singapore"],"affiliations":[{"raw_affiliation_string":"DSO National Laboratories, Singapore","institution_ids":["https://openalex.org/I28490864"]},{"raw_affiliation_string":"DSO National Laboratories; Singapore","institution_ids":["https://openalex.org/I28490864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022525550","display_name":"Eng\u2010Poh Ng","orcid":"https://orcid.org/0000-0002-1260-4552"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"B. P. Ng","raw_affiliation_strings":["School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111604538","display_name":"G.W. Ng","orcid":null},"institutions":[{"id":"https://openalex.org/I28490864","display_name":"DSO National Laboratories","ror":"https://ror.org/03e05fb06","country_code":"SG","type":"nonprofit","lineage":["https://openalex.org/I28490864"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"G. W. Ng","raw_affiliation_strings":["DSO National Laboratories, Singapore","DSO National Laboratories; Singapore"],"affiliations":[{"raw_affiliation_string":"DSO National Laboratories, Singapore","institution_ids":["https://openalex.org/I28490864"]},{"raw_affiliation_string":"DSO National Laboratories; Singapore","institution_ids":["https://openalex.org/I28490864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101989685"],"corresponding_institution_ids":["https://openalex.org/I28490864"],"apc_list":null,"apc_paid":null,"fwci":1.7447,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86395017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"6","first_page":"529","last_page":"532"},"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/T11622","display_name":"Maritime Navigation and Safety","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9894999861717224,"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/markov-chain","display_name":"Markov chain","score":0.7237758636474609},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.644428551197052},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5951364040374756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5695470571517944},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5440357327461243},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47917166352272034},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47285962104797363},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.41786131262779236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36789634823799133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2659035921096802},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17155170440673828},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15983176231384277},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07053807377815247}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.7237758636474609},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.644428551197052},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5951364040374756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5695470571517944},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5440357327461243},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47917166352272034},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47285962104797363},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.41786131262779236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36789634823799133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2659035921096802},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17155170440673828},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15983176231384277},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07053807377815247},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2009.2017474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2009.2017474","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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":9,"referenced_works":["https://openalex.org/W1568122762","https://openalex.org/W1969502443","https://openalex.org/W1983592215","https://openalex.org/W2006650882","https://openalex.org/W2021597197","https://openalex.org/W2103632679","https://openalex.org/W2117397690","https://openalex.org/W2129078811","https://openalex.org/W2167526968"],"related_works":["https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2084326697","https://openalex.org/W2027903142","https://openalex.org/W2354322608","https://openalex.org/W2804608325","https://openalex.org/W2077211377","https://openalex.org/W2413828414","https://openalex.org/W2186675474"],"abstract_inverted_index":{"This":[0,90],"letter":[1],"suggests":[2],"a":[3,44],"maneuvering":[4],"target":[5,38,94,100],"tracking":[6,108],"algorithm":[7],"using":[8],"sojourn-time-dependent":[9],"semi-Markov":[10],"(STDM)":[11],"model":[12,20,39,53,95],"switching":[13,47],"system":[14,83],"on":[15],"the":[16,30,37,59,68,78,82,87,93,99,106,116,120,125],"basis":[17],"of":[18,51],"multiple":[19,21],"hypothesis":[22],"(M":[23],"<sup":[24,32,71,127],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[25,33,72,128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[26,34,73,129],"H)":[27],"filter.":[28,131],"In":[29,63],"M":[31,70,126],"H":[35,74,130],"filter,":[36,75],"sequences":[40],"are":[41,112],"constructed":[42],"by":[43],"normal":[45],"Markov":[46,61],"system.":[48],"A":[49],"set":[50],"fixed":[52],"transition":[54,79],"probabilities":[55],"is":[56],"used":[57],"throughout":[58],"whole":[60],"process.":[62],"this":[64],"letter,":[65],"we":[66],"propose":[67],"STDM-based":[69],"which":[76],"adapts":[77],"probability":[80],"to":[81,98,105,114],"sojourn":[84],"time":[85],"in":[86,124],"current":[88],"model.":[89],"adaptation":[91],"makes":[92],"sequence":[96],"closer":[97],"natural":[101],"behavior,":[102],"and":[103],"leads":[104],"better":[107],"performance.":[109],"Simulation":[110],"results":[111],"presented":[113],"demonstrate":[115],"performance":[117],"improvement":[118],"after":[119],"STDM":[121],"being":[122],"introduced":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
