{"id":"https://openalex.org/W4412353275","doi":"https://doi.org/10.1109/tim.2025.3585217","title":"Unsupervised Flight Phase Division Method Based on VMSD-DcTICC","display_name":"Unsupervised Flight Phase Division Method Based on VMSD-DcTICC","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412353275","doi":"https://doi.org/10.1109/tim.2025.3585217"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3585217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3585217","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5041847082","display_name":"Yongzhan Chen","orcid":"https://orcid.org/0009-0009-1021-3687"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yongzhan Chen","raw_affiliation_strings":["Naval Aviation University, Qingdao Campus, Qingdao, China","Campus of Qingdao, Naval Aviation University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Naval Aviation University, Qingdao Campus, Qingdao, China","institution_ids":[]},{"raw_affiliation_string":"Campus of Qingdao, Naval Aviation University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043497243","display_name":"Xiaofei Wang","orcid":"https://orcid.org/0009-0004-2465-1905"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaofei Wang","raw_affiliation_strings":["Naval Aviation University, Qingdao Campus, Qingdao, China","Campus of Qingdao, Naval Aviation University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Naval Aviation University, Qingdao Campus, Qingdao, China","institution_ids":[]},{"raw_affiliation_string":"Campus of Qingdao, Naval Aviation University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109373690","display_name":"Gao Yan-Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanli Gao","raw_affiliation_strings":["Naval Aviation University, Qingdao Campus, Qingdao, China","Campus of Qingdao, Naval Aviation University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Naval Aviation University, Qingdao Campus, Qingdao, China","institution_ids":[]},{"raw_affiliation_string":"Campus of Qingdao, Naval Aviation University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045374718","display_name":"Kaixun He","orcid":"https://orcid.org/0000-0001-9571-9613"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixun He","raw_affiliation_strings":["College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079431661","display_name":"Haiyang Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haomin Dai","raw_affiliation_strings":["Naval Aviation University, Qingdao Campus, Qingdao, China","Campus of Qingdao, Naval Aviation University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Naval Aviation University, Qingdao Campus, Qingdao, China","institution_ids":[]},{"raw_affiliation_string":"Campus of Qingdao, Naval Aviation University, Qingdao, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041847082"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22815804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9836000204086304,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9836000204086304,"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":0.9800000190734863,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9322999715805054,"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/division","display_name":"Division (mathematics)","score":0.7176994681358337},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5296646952629089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4858126640319824},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23924881219863892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20576199889183044}],"concepts":[{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.7176994681358337},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5296646952629089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4858126640319824},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23924881219863892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20576199889183044},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"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":1,"locations":[{"id":"doi:10.1109/tim.2025.3585217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3585217","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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":19,"referenced_works":["https://openalex.org/W2020102891","https://openalex.org/W2060418666","https://openalex.org/W2111849249","https://openalex.org/W2626473047","https://openalex.org/W2740152683","https://openalex.org/W3024483380","https://openalex.org/W3040374527","https://openalex.org/W3196545029","https://openalex.org/W4307445287","https://openalex.org/W4308422219","https://openalex.org/W4315778533","https://openalex.org/W4366779169","https://openalex.org/W4384915912","https://openalex.org/W4386000309","https://openalex.org/W4386006883","https://openalex.org/W4388947387","https://openalex.org/W4389788392","https://openalex.org/W4391551469","https://openalex.org/W4394744852"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,145],"traditional":[1,169],"unsupervised":[2],"flight":[3,21,30,58,87,101,130,142,178],"phase":[4,22,31,60],"division":[5,32],"methods":[6],"have":[7],"limited":[8],"accuracy,":[9],"failing":[10],"to":[11,71,125,139],"meet":[12],"the":[13,72,79,83,86,100,136,141,155],"requirements":[14],"of":[15,52,57,64,75,113,152],"general":[16],"aviation":[17],"and":[18,61,66,78,94,108,132,134,179],"high":[19,180],"maneuverability":[20,181],"division.":[23],"Therefore,":[24],"this":[25],"paper":[26],"proposes":[27],"a":[28,118],"novel":[29],"method":[33,147],"based":[34],"on":[35,154],"Vertical":[36],"Motion":[37],"State":[38],"Decomposition":[39],"\u2013":[40],"Divide-and-conquer":[41],"Toeplitz":[42],"inverse":[43],"covariance-based":[44],"clustering":[45,170],"(VMSD-DcTICC),":[46],"which":[47,158],"can":[48],"perform":[49],"autonomous":[50],"correction":[51,56],"outlier":[53],"state":[54],"point,":[55],"transition":[59],"precise":[62],"positioning":[63],"take-off":[65],"landing":[67],"point.":[68],"First,":[69],"according":[70],"altitude":[73,80],"change":[74],"adjacent":[76],"points":[77,138],"rate":[81],"in":[82,176],"time":[84,137],"window,":[85],"data":[88,102],"are":[89,106],"decomposed":[90],"into":[91,110],"ascending,":[92],"descending":[93],"horizontal":[95],"states":[96,105],"by":[97,115],"VMSD.":[98],"Then,":[99],"under":[103],"different":[104,111],"extracted":[107],"divided":[109],"numbers":[112],"clusters":[114],"DcTICC.":[116],"Finally,":[117],"feature-based":[119],"cluster":[120],"constraint":[121],"mechanism":[122],"is":[123,159],"designed":[124],"achieve":[126],"effective":[127],"matching":[128],"between":[129],"phases":[131,143],"clusters,":[133],"sequence":[135],"combine":[140],"coherently.":[144],"proposed":[146],"achieves":[148],"an":[149],"average":[150],"accuracy":[151],"95.79%":[153],"NASA":[156],"Tail653,":[157],"better":[160],"than":[161,168],"other":[162],"comparison":[163],"algorithms,":[164],"especially":[165],"15%~18%":[166],"higher":[167],"methods.":[171],"Notably,":[172],"it":[173],"remains":[174],"applicable":[175],"typical":[177],"go-around":[182],"flight,":[183],"demonstrating":[184],"robust":[185],"generalization":[186],"performance.":[187]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}