{"id":"https://openalex.org/W4313315539","doi":"https://doi.org/10.1109/iccais56082.2022.9990385","title":"PHD Filter Based Traffic Target Tracking Framework with FMCW Radar","display_name":"PHD Filter Based Traffic Target Tracking Framework with FMCW Radar","publication_year":2022,"publication_date":"2022-11-21","ids":{"openalex":"https://openalex.org/W4313315539","doi":"https://doi.org/10.1109/iccais56082.2022.9990385"},"language":"en","primary_location":{"id":"doi:10.1109/iccais56082.2022.9990385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais56082.2022.9990385","pdf_url":null,"source":{"id":"https://openalex.org/S4363608617","display_name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5100330003","display_name":"Xi Cao","orcid":"https://orcid.org/0000-0002-9650-3897"},"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":"Xi Cao","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R. China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077902748","display_name":"Chuan Zhu","orcid":"https://orcid.org/0000-0003-4169-8233"},"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":"Chuan Zhu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R. China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339151","display_name":"Wei Yi","orcid":"https://orcid.org/0000-0001-9878-7048"},"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":"Wei Yi","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R. China","School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,P.R. China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100330003"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.3118,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53215902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"468","last_page":"475"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9858999848365784,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.98089998960495,"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/computer-science","display_name":"Computer science","score":0.7185803055763245},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.5957759618759155},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.5822252035140991},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.565315842628479},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5510797500610352},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5457366108894348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5198022127151489},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45981937646865845},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42831724882125854},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.42784255743026733},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36338916420936584},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.09037786722183228},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08865663409233093},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0863569974899292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185803055763245},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.5957759618759155},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.5822252035140991},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.565315842628479},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5510797500610352},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5457366108894348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5198022127151489},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45981937646865845},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42831724882125854},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.42784255743026733},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36338916420936584},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.09037786722183228},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08865663409233093},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0863569974899292},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais56082.2022.9990385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais56082.2022.9990385","pdf_url":null,"source":{"id":"https://openalex.org/S4363608617","display_name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W1568122762","https://openalex.org/W2014787937","https://openalex.org/W2020324514","https://openalex.org/W2035112084","https://openalex.org/W2077969890","https://openalex.org/W2079605428","https://openalex.org/W2097183228","https://openalex.org/W2103990233","https://openalex.org/W2105905583","https://openalex.org/W2110354007","https://openalex.org/W2127923214","https://openalex.org/W2137585588","https://openalex.org/W2159283421","https://openalex.org/W2161435744","https://openalex.org/W2163796592","https://openalex.org/W2167536584","https://openalex.org/W2169732458","https://openalex.org/W2189105799","https://openalex.org/W2424916488","https://openalex.org/W2509262726","https://openalex.org/W2538355460","https://openalex.org/W2800402148","https://openalex.org/W2883067374","https://openalex.org/W2889371341","https://openalex.org/W2891185125","https://openalex.org/W2896289089","https://openalex.org/W3098564952","https://openalex.org/W3183344597","https://openalex.org/W3196686707","https://openalex.org/W4200570495","https://openalex.org/W4302356748","https://openalex.org/W6631355908","https://openalex.org/W6676462664","https://openalex.org/W6683366892","https://openalex.org/W6801057049"],"related_works":["https://openalex.org/W3176449234","https://openalex.org/W2353158678","https://openalex.org/W2767235736","https://openalex.org/W4225278791","https://openalex.org/W2045002201","https://openalex.org/W2971352445","https://openalex.org/W4322502698","https://openalex.org/W2553357593","https://openalex.org/W337130175","https://openalex.org/W2380612839"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"tracking":[2],"traffic":[3,14,126],"target":[4,134,143],"based":[5],"on":[6],"frequency":[7],"modulated":[8],"continuous":[9],"wave":[10],"(FMCW)":[11],"radar":[12],"in":[13,43,125],"scenes,":[15,127],"this":[16,44,128],"paper":[17,129],"proposes":[18,130],"a":[19,64],"robust":[20],"Gaussian":[21],"mixture":[22],"probability":[23],"hypothesis":[24],"density":[25],"(GM-PHD)":[26],"filter":[27,99,121],"combined":[28],"with":[29,58,70,122,156],"measurement":[30],"processing.":[31],"Due":[32],"to":[33,76,97,114,151],"the":[34,46,59,78,84,88,92,104,110,116,119,153,157,162,165],"different":[35],"recognition":[36],"requirements":[37],"of":[38,61,68,94,109,118,164],"moving":[39,52,79],"and":[40,53,81,107,140,142],"static":[41,54],"targets":[42],"application,":[45],"raw":[47],"measurements":[48,80,95],"are":[49],"separated":[50],"into":[51],"parts.":[55],"To":[56],"deal":[57],"problem":[60],"extended":[62],"target,":[63],"density-based":[65],"spatial":[66],"clustering":[67],"applications":[69],"noise":[71],"(DBSCAN)":[72],"algorithm":[73,155],"is":[74,100,149],"used":[75,150],"cluster":[77],"then":[82],"extract":[83],"feature":[85],"measurements.":[86],"After":[87],"above":[89],"two":[90],"steps,":[91],"number":[93],"input":[96],"PHD":[98,120],"reduced,":[101],"which":[102,160],"ensures":[103],"real-time":[105],"performance":[106],"accuracy":[108],"algorithm.":[111,167],"In":[112],"order":[113],"solve":[115],"problems":[117],"track":[123,138],"information":[124],"some":[131],"improvements,":[132],"including":[133],"birth":[135],"intensity":[136],"generation,":[137],"merging":[139],"extraction,":[141],"weight":[144],"correction.":[145],"The":[146],"experimental":[147],"data":[148],"compare":[152],"proposed":[154,166],"conventional":[158],"algorithm,":[159],"proves":[161],"advantages":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
