{"id":"https://openalex.org/W4226064106","doi":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860614","title":"A Cluster-Based Weighted Feature Similarity Moving Target Tracking Algorithm for Automotive FMCW Radar","display_name":"A Cluster-Based Weighted Feature Similarity Moving Target Tracking Algorithm for Automotive FMCW Radar","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4226064106","doi":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860614"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-spring54318.2022.9860614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860614","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","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 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","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/A5059672572","display_name":"Rongqian Chen","orcid":"https://orcid.org/0000-0003-0827-2687"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongqian Chen","raw_affiliation_strings":["South-west Jiaotong University,School of Information Science and Technology,Chengdu,China","School of Information Science and Technology, South-west Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"South-west Jiaotong University,School of Information Science and Technology,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, South-west Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764435","display_name":"Yingquan Zou","orcid":"https://orcid.org/0000-0002-9579-491X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingquan Zou","raw_affiliation_strings":["South-west Jiaotong University,School of Information Science and Technology,Chengdu,China","School of Information Science and Technology, South-west Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"South-west Jiaotong University,School of Information Science and Technology,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, South-west Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026606756","display_name":"Anyong Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anyong Gao","raw_affiliation_strings":["South-west Jiaotong University,School of Information Science and Technology,Chengdu,China","School of Information Science and Technology, South-west Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"South-west Jiaotong University,School of Information Science and Technology,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, South-west Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085285115","display_name":"Leshi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leshi Chen","raw_affiliation_strings":["South-west Jiaotong University,School of Information Science and Technology,Chengdu,China","School of Information Science and Technology, South-west Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"South-west Jiaotong University,School of Information Science and Technology,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, South-west Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059672572"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23922646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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":0.9979000091552734,"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":0.9979000091552734,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9887999892234802,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9868999719619751,"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":0.7252993583679199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6572033166885376},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6296071410179138},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6068768501281738},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6010256409645081},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5994626879692078},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5709874629974365},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.560425341129303},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5602322220802307},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.5106557011604309},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.46543848514556885},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.46311795711517334},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4624607264995575},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.4534471333026886},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.424348384141922},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4177056550979614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.353310763835907},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.16833984851837158},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1527584195137024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13276278972625732},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08991348743438721}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7252993583679199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6572033166885376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6296071410179138},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6068768501281738},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6010256409645081},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5994626879692078},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5709874629974365},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.560425341129303},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5602322220802307},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.5106557011604309},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.46543848514556885},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.46311795711517334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4624607264995575},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.4534471333026886},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.424348384141922},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4177056550979614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.353310763835907},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.16833984851837158},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1527584195137024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13276278972625732},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08991348743438721},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-spring54318.2022.9860614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-spring54318.2022.9860614","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","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 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1555760981","https://openalex.org/W1952910563","https://openalex.org/W2138866680","https://openalex.org/W2330362073","https://openalex.org/W2545563415","https://openalex.org/W2624995759","https://openalex.org/W2794284562","https://openalex.org/W2889541130","https://openalex.org/W2891646262","https://openalex.org/W2963041685","https://openalex.org/W2999423154","https://openalex.org/W3005455080","https://openalex.org/W3008086390","https://openalex.org/W3028043782","https://openalex.org/W3099746624","https://openalex.org/W3109339764","https://openalex.org/W6640766037","https://openalex.org/W6680305447"],"related_works":["https://openalex.org/W4382644535","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W2351672553","https://openalex.org/W2373392303","https://openalex.org/W2056268060","https://openalex.org/W2853067597","https://openalex.org/W1508196419","https://openalex.org/W2477169924","https://openalex.org/W2756388586"],"abstract_inverted_index":{"We":[0],"studied":[1],"a":[2,26,60,74,101],"target":[3,23,42,83],"tracking":[4,24],"algorithm":[5,31],"based":[6],"on":[7],"millimeter-wave":[8],"(MMW)":[9],"radar":[10],"in":[11,21,43,105],"an":[12],"autonomous":[13,55,106],"driving":[14,56,107],"environment.":[15],"Aiming":[16],"at":[17],"the":[18,22,36,40,71,79,92,95,112,121],"cluster":[19],"matching":[20,37],"stage,":[25],"new":[27],"weighted":[28],"feature":[29],"similarity":[30],"is":[32],"proposed,":[33],"which":[34,77],"increases":[35],"rate":[38],"of":[39,73,81,94,103,120],"same":[41],"adjacent":[44],"frames":[45],"under":[46],"strong":[47],"environmental":[48],"noise":[49],"and":[50,69,85,116],"multiple":[51],"interference":[52],"targets.":[53],"For":[54],"scenarios,":[57],"we":[58],"constructed":[59],"method":[61,97],"that":[62],"uses":[63],"its":[64],"motion":[65],"parameters":[66],"to":[67],"extract":[68],"correct":[70],"trajectory":[72,86],"moving":[75,82],"target,":[76],"solves":[78],"problem":[80],"detection":[84],"correction":[87],"during":[88],"vehicle":[89],"movement.":[90],"Finally,":[91],"feasibility":[93],"proposed":[96],"was":[98],"verified":[99],"by":[100],"series":[102],"experiments":[104],"environments.":[108],"The":[109],"results":[110],"verify":[111],"high":[113],"recognition":[114],"accuracy":[115],"low":[117],"positional":[118],"error":[119],"method.":[122]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}