{"id":"https://openalex.org/W3004128357","doi":"https://doi.org/10.1109/globalsip45357.2019.8969293","title":"Interactive Multi-model Tracking of a Highly Maneuvering Target using MSPDAF with Least Squares Virtual Fusion","display_name":"Interactive Multi-model Tracking of a Highly Maneuvering Target using MSPDAF with Least Squares Virtual Fusion","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3004128357","doi":"https://doi.org/10.1109/globalsip45357.2019.8969293","mag":"3004128357"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip45357.2019.8969293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-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/A5101456679","display_name":"Qin Tang","orcid":"https://orcid.org/0000-0003-1322-8373"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Tang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103137158","display_name":"Fangqi Zhu","orcid":"https://orcid.org/0000-0002-2528-4017"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fangqi Zhu","raw_affiliation_strings":["Department of Electrical Engineering, University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100676078","display_name":"Jing Liang","orcid":"https://orcid.org/0000-0002-0860-6563"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101456679"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.18876653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9872000217437744,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9868000149726868,"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/computer-science","display_name":"Computer science","score":0.7190828323364258},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.6531999111175537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6229446530342102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5889020562171936},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5848360061645508},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.530195415019989},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.5032421946525574},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5018272399902344},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.49767234921455383},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.47858119010925293},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.4578091502189636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3389712870121002},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12035104632377625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7190828323364258},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.6531999111175537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6229446530342102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889020562171936},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5848360061645508},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.530195415019989},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.5032421946525574},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5018272399902344},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.49767234921455383},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.47858119010925293},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.4578091502189636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3389712870121002},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12035104632377625},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip45357.2019.8969293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W405321894","https://openalex.org/W1819467863","https://openalex.org/W2024727715","https://openalex.org/W2048161719","https://openalex.org/W2156484734","https://openalex.org/W2195832715","https://openalex.org/W2281954672","https://openalex.org/W2484797342","https://openalex.org/W2503927140","https://openalex.org/W2545563415","https://openalex.org/W2559728122","https://openalex.org/W2572316854","https://openalex.org/W2588221994","https://openalex.org/W2744737843","https://openalex.org/W2744891375","https://openalex.org/W2904483643"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W2371994528","https://openalex.org/W2354489033","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"For":[0],"target":[1,84],"cognition":[2],"and":[3,106],"data":[4,23],"fusion,":[5],"the":[6,22,47,65,101,110],"sensors":[7,27],"are":[8],"usually":[9],"considered":[10],"as":[11,21],"synchronous":[12],"sampling.":[13,62],"This":[14],"assumption":[15],"is":[16,28,44,71],"often":[17],"no":[18],"longer":[19],"valid":[20],"rate":[24],"of":[25,33,90,103,112],"infrared":[26],"significantly":[29],"higher":[30],"than":[31,115],"that":[32,96],"radar.":[34],"In":[35],"this":[36],"paper,":[37],"a":[38,81],"novel":[39],"algorithm":[40,98],"named":[41],"LS":[42],"IMM/MSPDAF":[43],"proposed":[45],"for":[46,64,73],"least":[48],"squares":[49],"(LS)":[50],"virtual":[51],"fusion":[52],"method":[53],"by":[54],"involving":[55],"time":[56],"calibration":[57],"due":[58],"to":[59,79],"multi-sensors":[60],"asynchronous":[61,104],"As":[63],"interactive":[66],"multi-model":[67],"(IMM)":[68],"part,":[69],"it":[70],"designed":[72],"fusing":[74],"multimodal":[75],"observations":[76],"in":[77,109],"order":[78],"track":[80,113],"highly":[82],"maneuvering":[83],"with":[85],"different":[86],"dimensions.":[87],"Experimental":[88],"results":[89],"two":[91],"case":[92],"studies":[93],"have":[94],"demonstrated":[95],"our":[97],"can":[99],"conquer":[100],"defect":[102],"sampling,":[105],"achieve":[107],"improvement":[108],"accuracy":[111],"estimation":[114],"MSPDAF.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}