{"id":"https://openalex.org/W2169753921","doi":"https://doi.org/10.1155/s1110865704404223","title":"Joint Tracking of Manoeuvring Targets and Classification of Their Manoeuvrability","display_name":"Joint Tracking of Manoeuvring Targets and Classification of Their Manoeuvrability","publication_year":2004,"publication_date":"2004-11-07","ids":{"openalex":"https://openalex.org/W2169753921","doi":"https://doi.org/10.1155/s1110865704404223","mag":"2169753921"},"language":"en","primary_location":{"id":"doi:10.1155/s1110865704404223","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704404223","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704404223","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704404223","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083636287","display_name":"Simon Maskell","orcid":"https://orcid.org/0000-0003-1917-2913"},"institutions":[{"id":"https://openalex.org/I173869447","display_name":"Qinetiq (United Kingdom)","ror":"https://ror.org/02f60yb64","country_code":"GB","type":"company","lineage":["https://openalex.org/I173869447"]},{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Simon Maskell","raw_affiliation_strings":["Department of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK","QinetiQ Ltd, St. Andrews Road, Worcestershire, Malvern, WR14 3PS, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"QinetiQ Ltd, St. Andrews Road, Worcestershire, Malvern, WR14 3PS, UK","institution_ids":["https://openalex.org/I173869447"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083636287"],"corresponding_institution_ids":["https://openalex.org/I173869447","https://openalex.org/I241749"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":4.2854,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94350142,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2004","issue":"15","first_page":null,"last_page":null},"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9925000071525574,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9276000261306763,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/tracking","display_name":"Tracking (education)","score":0.7340787649154663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6856440305709839},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5720229744911194},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5615090131759644},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5520843267440796},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.5380522608757019},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5297775268554688},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5235692858695984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5156713724136353},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5051375031471252},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.49431443214416504},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.45119568705558777},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3239329159259796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2469988465309143},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.17333054542541504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14163798093795776},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10174316167831421}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7340787649154663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6856440305709839},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5720229744911194},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5615090131759644},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5520843267440796},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.5380522608757019},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5297775268554688},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5235692858695984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156713724136353},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5051375031471252},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.49431443214416504},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.45119568705558777},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3239329159259796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2469988465309143},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.17333054542541504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14163798093795776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10174316167831421},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/s1110865704404223","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704404223","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704404223","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/240503","is_oa":true,"landing_page_url":"http://www.dspace.cam.ac.uk/handle/1810/240503","pdf_url":"https://www.repository.cam.ac.uk/bitstreams/a286399a-d10c-4b60-a5d8-11dfdcf0a8d1/download","source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"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":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1155/s1110865704404223","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704404223","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704404223","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320247","display_name":"Royal Commission for the Exhibition of 1851","ror":"https://ror.org/05fdb2817"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2169753921.pdf","grobid_xml":"https://content.openalex.org/works/W2169753921.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1656655988","https://openalex.org/W1969502443","https://openalex.org/W1991324737","https://openalex.org/W2040759397","https://openalex.org/W2097210164","https://openalex.org/W2109301048","https://openalex.org/W2113633319","https://openalex.org/W2129078811","https://openalex.org/W2137780511","https://openalex.org/W2160337655","https://openalex.org/W2165713270","https://openalex.org/W2533355261","https://openalex.org/W2979522838","https://openalex.org/W3107934168","https://openalex.org/W6680289374"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2082284720","https://openalex.org/W2194396582","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2379938888","https://openalex.org/W4233405330","https://openalex.org/W2176285001","https://openalex.org/W2792905593"],"abstract_inverted_index":{"Semi-Markov":[0],"models":[1,7,28,38,48],"are":[2],"a":[3,24],"generalisation":[4],"of":[5,56,101],"Markov":[6,27],"that":[8,70,89],"explicitly":[9],"model":[10],"the":[11,16,20,44,54,99],"state-dependent":[12],"sojourn":[13,34],"time":[14,17],"distribution,":[15],"for":[18],"which":[19],"system":[21],"remains":[22],"in":[23,30],"given":[25],"state.":[26],"result":[29],"an":[31],"exponentially":[32],"distributed":[33],"time,":[35],"while":[36],"semi-Markov":[37],"make":[39],"it":[40],"possible":[41],"to":[42,52,74,95],"define":[43],"distribution":[45],"explicitly.":[46],"Such":[47],"can":[49,62,92],"be":[50,75,93],"used":[51,94],"describe":[53],"behaviour":[55],"manoeuvring":[57],"targets,":[58],"and":[59,78,84],"particle":[60,72],"filtering":[61],"then":[63],"facilitate":[64],"tracking.":[65],"An":[66],"architecture":[67],"is":[68,87],"proposed":[69],"enables":[71],"filters":[73],"both":[76],"robust":[77],"efficient":[79],"when":[80],"conducting":[81],"joint":[82],"tracking":[83],"classification.":[85],"It":[86],"demonstrated":[88],"this":[90],"approach":[91],"classify":[96],"targets":[97],"on":[98],"basis":[100],"their":[102],"manoeuvrability.":[103]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
