{"id":"https://openalex.org/W4390187370","doi":"https://doi.org/10.1109/tgrs.2023.3346998","title":"A Dynamic Model-Based Doppler-Adaptive Correlation Filter for Maritime Radar Target Tracking","display_name":"A Dynamic Model-Based Doppler-Adaptive Correlation Filter for Maritime Radar Target Tracking","publication_year":2023,"publication_date":"2023-12-25","ids":{"openalex":"https://openalex.org/W4390187370","doi":"https://doi.org/10.1109/tgrs.2023.3346998"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3346998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3346998","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5056602542","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0001-8560-2059"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8560-2059","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113086871","display_name":"Jiaqi Liu","orcid":"https://orcid.org/0009-0009-6060-642X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Liu","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022425302","display_name":"Xinru Yuan","orcid":"https://orcid.org/0000-0002-2335-7489"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinru Yuan","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-2335-7489","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449483","display_name":"Chang Chen","orcid":"https://orcid.org/0000-0002-5378-4107"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Chen","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5378-4107","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361920","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-7193-0622"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7193-0622","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100357388","display_name":"Weidong Chen","orcid":"https://orcid.org/0000-0003-1259-7660"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Chen","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1259-7660","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.639,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74644867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"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":0.9886999726295471,"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":0.9886999726295471,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9545999765396118,"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/clutter","display_name":"Clutter","score":0.7174911499023438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7032084465026855},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.5908174514770508},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5489504933357239},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5477246642112732},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5467057824134827},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5313074588775635},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.5142757296562195},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5111168026924133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5092791318893433},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.49489206075668335},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4461098611354828},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.42025429010391235},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.4113020598888397},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.2616959810256958},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.24543032050132751},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23595771193504333},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10512542724609375},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10336890816688538}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7174911499023438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7032084465026855},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.5908174514770508},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5489504933357239},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5477246642112732},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5467057824134827},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5313074588775635},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.5142757296562195},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5111168026924133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5092791318893433},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.49489206075668335},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4461098611354828},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.42025429010391235},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.4113020598888397},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.2616959810256958},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.24543032050132751},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23595771193504333},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10512542724609375},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10336890816688538},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3346998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3346998","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1527336764","display_name":null,"funder_award_id":"CX2100060053","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G4848329531","display_name":null,"funder_award_id":"2208085J17","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G4953596144","display_name":null,"funder_award_id":"CX2100060053","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G508747898","display_name":"\u591a\u6a21\u6001\u805a\u5408\u6da1\u65cb\u7535\u78c1\u6ce2\u7684\u8d85\u5206\u8fa8\u6210\u50cf\u673a\u7406\u53ca\u7cfb\u7edf\u7814\u7a76","funder_award_id":"61971392","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W161114242","https://openalex.org/W810068888","https://openalex.org/W1555760981","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1966447678","https://openalex.org/W1974599169","https://openalex.org/W1997121481","https://openalex.org/W2001024432","https://openalex.org/W2007097714","https://openalex.org/W2010663274","https://openalex.org/W2094161569","https://openalex.org/W2101295974","https://openalex.org/W2109579504","https://openalex.org/W2110012495","https://openalex.org/W2113908741","https://openalex.org/W2149274770","https://openalex.org/W2154353836","https://openalex.org/W2154889144","https://openalex.org/W2164278908","https://openalex.org/W2165948751","https://openalex.org/W2211807644","https://openalex.org/W2237765446","https://openalex.org/W2330362073","https://openalex.org/W2520477759","https://openalex.org/W2599547527","https://openalex.org/W2737128717","https://openalex.org/W2771877920","https://openalex.org/W2913213964","https://openalex.org/W2917703226","https://openalex.org/W2946189871","https://openalex.org/W2955983623","https://openalex.org/W2962719749","https://openalex.org/W2964069521","https://openalex.org/W2989181022","https://openalex.org/W3034326629","https://openalex.org/W3035466700","https://openalex.org/W3126344916","https://openalex.org/W3183862688","https://openalex.org/W3192870088","https://openalex.org/W4210602481","https://openalex.org/W4211072634","https://openalex.org/W4251960031","https://openalex.org/W4286377454","https://openalex.org/W4309848425","https://openalex.org/W4376851379","https://openalex.org/W6794654268"],"related_works":["https://openalex.org/W2201050717","https://openalex.org/W4319917433","https://openalex.org/W2101121116","https://openalex.org/W2977296457","https://openalex.org/W1595241965","https://openalex.org/W2381334782","https://openalex.org/W2336526268","https://openalex.org/W2354812741","https://openalex.org/W1986557098","https://openalex.org/W2375251211"],"abstract_inverted_index":{"This":[0,58],"article":[1],"deals":[2],"with":[3,9,105],"the":[4,14,22,54,63,67,73,84,91,95,100,112,118,125,129,136,145,155,163],"problem":[5],"of":[6,42,66,94,117],"tracking":[7,142],"targets":[8],"X-band":[10],"marine":[11],"radars":[12],"in":[13,144],"complicated":[15,146],"sea":[16,147],"clutter":[17,148],"background.":[18,149],"By":[19,123],"jointly":[20],"exploiting":[21,124],"target\u2019s":[23],"kinematic":[24,92],"and":[25,69,120,157],"appearance":[26,64],"information,":[27],"we":[28],"propose":[29],"a":[30,46,78],"novel":[31],"dynamic":[32],"model-based":[33],"Doppler-adaptive":[34,47],"correlation":[35,48,56],"filter.":[36,57],"The":[37],"proposed":[38,164],"tracker":[39,165],"mainly":[40],"consists":[41],"two":[43,130],"modules.":[44],"First,":[45],"filter":[49,59,81,86,104],"is":[50,70,87,108],"developed":[51],"based":[52,152],"on":[53,153],"kernel":[55],"can":[60],"effectively":[61],"represent":[62,90],"patterns":[65,93],"target":[68],"adaptive":[71],"to":[72,89,110,139],"motion":[74,119],"Doppler":[75],"by":[76],"using":[77],"multi-frequency":[79],"centered":[80],"bank.":[82],"Second,":[83],"Bernoulli":[85],"employed":[88],"target.":[96],"Within":[97],"this":[98],"filter,":[99],"converted":[101],"measurement":[102,121,127],"Kalman":[103],"range":[106],"rate":[107],"applied":[109],"overcome":[111],"inconsistency":[113],"between":[114],"coordinate":[115],"systems":[116],"models.":[122],"hybrid":[126],"likelihood,":[128],"modules":[131],"are":[132],"then":[133],"fused":[134],"within":[135],"Bayesian":[137],"framework":[138],"achieve":[140],"improved":[141],"performance":[143],"Experimental":[150],"results":[151],"both":[154],"simulated":[156],"real":[158],"radar":[159],"data":[160],"demonstrate":[161],"that":[162],"outperforms":[166],"its":[167],"representative":[168],"counterparts.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-04T07:58:01.006859","created_date":"2025-10-10T00:00:00"}
