{"id":"https://openalex.org/W2046579491","doi":"https://doi.org/10.1109/tsp.2014.2309561","title":"Tracking of Maneuvering Non-Ellipsoidal Extended Object or Target Group Using Random Matrix","display_name":"Tracking of Maneuvering Non-Ellipsoidal Extended Object or Target Group Using Random Matrix","publication_year":2014,"publication_date":"2014-03-04","ids":{"openalex":"https://openalex.org/W2046579491","doi":"https://doi.org/10.1109/tsp.2014.2309561","mag":"2046579491"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2014.2309561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2014.2309561","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on 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/A5030275567","display_name":"Jian Lan","orcid":"https://orcid.org/0000-0003-4994-4814"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Lan","raw_affiliation_strings":["Center for Information Engineering Science Research, School of Electronics and Information Engineering Xi'an Jiaotong University, Xi'an, P. R. China","Center for Information Engineering Science Research, Xi'an Jiaotong University, Xi\u2019an, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Center for Information Engineering Science Research, School of Electronics and Information Engineering Xi'an Jiaotong University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Center for Information Engineering Science Research, Xi'an Jiaotong University, Xi\u2019an, China#TAB#","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066692075","display_name":"X. Rong Li","orcid":"https://orcid.org/0000-0001-6594-5919"},"institutions":[{"id":"https://openalex.org/I192396691","display_name":"University of New Orleans","ror":"https://ror.org/034mtvk83","country_code":"US","type":"education","lineage":["https://openalex.org/I192396691","https://openalex.org/I2799628689"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"X. Rong Li","raw_affiliation_strings":["Dept. of Electrical Engineering, University of New Orleans, New Orleans, LA, USA","Dept. of Electr. Eng., Univ. of New Orleans, New Orleans, LA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, University of New Orleans, New Orleans, LA, USA","institution_ids":["https://openalex.org/I192396691"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Univ. of New Orleans, New Orleans, LA, USA","institution_ids":["https://openalex.org/I192396691"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030275567"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":15.5425,"has_fulltext":false,"cited_by_count":184,"citation_normalized_percentile":{"value":0.99087676,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"62","issue":"9","first_page":"2450","last_page":"2463"},"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/T12158","display_name":"Guidance and Control Systems","score":0.9391000270843506,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9003999829292297,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ellipsoid","display_name":"Ellipsoid","score":0.8759720325469971},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5784974694252014},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5573046803474426},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5465233325958252},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5324059128761292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5150506496429443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5061904788017273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4936453104019165},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.44419580698013306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4379744529724121},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42228221893310547},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3855648934841156},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13319605588912964}],"concepts":[{"id":"https://openalex.org/C57489055","wikidata":"https://www.wikidata.org/wiki/Q190046","display_name":"Ellipsoid","level":2,"score":0.8759720325469971},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5784974694252014},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5573046803474426},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5465233325958252},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5324059128761292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5150506496429443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5061904788017273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4936453104019165},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.44419580698013306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4379744529724121},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42228221893310547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3855648934841156},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13319605588912964},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2014.2309561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2014.2309561","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1503259780","https://openalex.org/W1528591406","https://openalex.org/W1563029181","https://openalex.org/W1863995827","https://openalex.org/W1966447678","https://openalex.org/W1971278239","https://openalex.org/W1973636889","https://openalex.org/W1993235647","https://openalex.org/W2008089983","https://openalex.org/W2017022358","https://openalex.org/W2018275473","https://openalex.org/W2020324514","https://openalex.org/W2077969890","https://openalex.org/W2091365726","https://openalex.org/W2095839956","https://openalex.org/W2098296991","https://openalex.org/W2103632679","https://openalex.org/W2105602785","https://openalex.org/W2117397690","https://openalex.org/W2120004402","https://openalex.org/W2122469428","https://openalex.org/W2135254894","https://openalex.org/W2140242774","https://openalex.org/W2144598923","https://openalex.org/W2150593711","https://openalex.org/W2156385851","https://openalex.org/W2167752786","https://openalex.org/W2170790908","https://openalex.org/W2543204972","https://openalex.org/W3145630061","https://openalex.org/W3147228951","https://openalex.org/W3148198191","https://openalex.org/W4235881750","https://openalex.org/W6630128119","https://openalex.org/W6631498756","https://openalex.org/W6633593558","https://openalex.org/W6639152651","https://openalex.org/W6642863383","https://openalex.org/W6648473370","https://openalex.org/W6675814208","https://openalex.org/W6677727547","https://openalex.org/W6678239302","https://openalex.org/W6683366892"],"related_works":["https://openalex.org/W1986006778","https://openalex.org/W2005485125","https://openalex.org/W2390718407","https://openalex.org/W2085363807","https://openalex.org/W2034124193","https://openalex.org/W2379017606","https://openalex.org/W2941765012","https://openalex.org/W2171970890","https://openalex.org/W323147296","https://openalex.org/W2157278770"],"abstract_inverted_index":{"For":[0,94],"non-ellipsoidal":[1,47],"extended":[2,48],"object":[3,49],"and":[4,9,38,88,97,118,136,139,152],"group":[5,52],"target":[6,51],"tracking":[7],"(NEOT":[8],"NGTT),":[10],"using":[11],"a":[12,46,54,63,78,99],"random":[13,64],"matrix":[14],"to":[15,83,114],"simplify":[16],"the":[17,31,85,89,92,111,116,119,123,128,146,149],"extension":[18],"as":[19,53],"an":[20],"ellipsoid,":[21],"although":[22],"efficient,":[23],"may":[24],"not":[25],"be":[26],"accurate":[27],"enough":[28],"because":[29],"of":[30,33,42,56,91,122,127,148],"loss":[32],"useful":[34],"information":[35],"in":[36],"shape":[37],"orientation.":[39],"In":[40],"view":[41],"this,":[43],"we":[44],"model":[45,107],"or":[50],"combination":[55],"multiple":[57],"ellipsoidal":[58],"sub-objects,":[59],"each":[60],"represented":[61],"by":[62,70],"matrix.":[65],"Different":[66],"sub-objects":[67],"are":[68,130,141],"distinguished":[69],"different":[71],"dynamic":[72],"models.":[73],"Based":[74],"on":[75],"such":[76],"models,":[77],"Bayesian":[79],"approach":[80,101,129],"is":[81,102,108],"proposed":[82,150],"estimate":[84],"kinematic":[86],"states":[87],"extensions":[90],"sub-objects.":[93,124],"maneuvering":[95,135],"NEOT":[96,138],"NGTT,":[98],"multiple-model":[100],"proposed.":[103],"The":[104,143],"overall":[105],"maneuver":[106],"combined":[109],"with":[110],"sub-object":[112],"models":[113],"describe":[115],"common":[117],"individual":[120],"motions":[121],"Three":[125],"simplifications":[126],"presented.":[131],"Two":[132],"scenarios":[133],"for":[134],"nonmaneuvering":[137],"NGTT":[140],"simulated.":[142],"results":[144],"demonstrate":[145],"effectiveness":[147],"modeling":[151],"estimation":[153],"approach.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
