{"id":"https://openalex.org/W2989930681","doi":"https://doi.org/10.3390/s19235278","title":"A New Multiple Hypothesis Tracker Integrated with Detection Processing","display_name":"A New Multiple Hypothesis Tracker Integrated with Detection Processing","publication_year":2019,"publication_date":"2019-11-30","ids":{"openalex":"https://openalex.org/W2989930681","doi":"https://doi.org/10.3390/s19235278","mag":"2989930681","pmid":"https://pubmed.ncbi.nlm.nih.gov/31801195"},"language":"en","primary_location":{"id":"doi:10.3390/s19235278","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19235278","pdf_url":"https://www.mdpi.com/1424-8220/19/23/5278/pdf?version=1575455403","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/23/5278/pdf?version=1575455403","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100389376","display_name":"Ziwei Wang","orcid":"https://orcid.org/0000-0002-6980-3798"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Wang","raw_affiliation_strings":["School of Electronics &amp; Information Engineering, Beihang University, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics &amp; Information Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778202","display_name":"Jinping Sun","orcid":"https://orcid.org/0000-0002-7184-5057"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinping Sun","raw_affiliation_strings":["School of Electronics &amp; Information Engineering, Beihang University, Beijing 100191, China"],"raw_orcid":"https://orcid.org/0000-0002-7184-5057","affiliations":[{"raw_affiliation_string":"School of Electronics &amp; Information Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Department of Engineering, University of Cambridge, Cambridge CB12PZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Cambridge, Cambridge CB12PZ, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102962148","display_name":"Guanhua Ding","orcid":"https://orcid.org/0000-0003-0916-5402"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanhua Ding","raw_affiliation_strings":["School of Electronics &amp; Information Engineering, Beihang University, Beijing 100191, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics &amp; Information Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100778202"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.4786,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7516999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"19","issue":"23","first_page":"5278","last_page":"5278"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9904999732971191,"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":0.8914535045623779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6721581220626831},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6432255506515503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5805262327194214},{"id":"https://openalex.org/keywords/sequential-probability-ratio-test","display_name":"Sequential probability ratio test","score":0.490965873003006},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.46020811796188354},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.4503520727157593},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.44551774859428406},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.4378218650817871},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4357847571372986},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.42688101530075073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4175903797149658},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34769004583358765},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3475172519683838},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18062999844551086},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1003473699092865},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.0739549994468689}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8914535045623779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6721581220626831},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6432255506515503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5805262327194214},{"id":"https://openalex.org/C34602496","wikidata":"https://www.wikidata.org/wiki/Q2271882","display_name":"Sequential probability ratio test","level":2,"score":0.490965873003006},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.46020811796188354},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.4503520727157593},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.44551774859428406},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.4378218650817871},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4357847571372986},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.42688101530075073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4175903797149658},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34769004583358765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3475172519683838},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18062999844551086},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1003473699092865},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0739549994468689},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s19235278","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19235278","pdf_url":"https://www.mdpi.com/1424-8220/19/23/5278/pdf?version=1575455403","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:31801195","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31801195","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:europepmc.org:5881574","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6928886","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/23/5278/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19235278","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19235278","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19235278","pdf_url":"https://www.mdpi.com/1424-8220/19/23/5278/pdf?version=1575455403","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8765208294","display_name":"\u673a\u8f7d\u76d1\u89c6\u96f7\u8fbe\u5730\u9762\u8fd0\u52a8\u76ee\u6807\u8ddf\u8e2a\u6280\u672f\u7814\u7a76","funder_award_id":"61471019","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989930681.pdf","grobid_xml":"https://content.openalex.org/works/W2989930681.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1504471200","https://openalex.org/W1979992424","https://openalex.org/W1994696351","https://openalex.org/W2005776195","https://openalex.org/W2048161719","https://openalex.org/W2106885570","https://openalex.org/W2126885789","https://openalex.org/W2127923214","https://openalex.org/W2133384842","https://openalex.org/W2133488888","https://openalex.org/W2138378007","https://openalex.org/W2148128172","https://openalex.org/W2155325587","https://openalex.org/W2155680787","https://openalex.org/W2156546747","https://openalex.org/W2167770337","https://openalex.org/W2349600026","https://openalex.org/W2467862829","https://openalex.org/W2484238939","https://openalex.org/W2567290379","https://openalex.org/W2571050459","https://openalex.org/W2753639767","https://openalex.org/W2791532005","https://openalex.org/W2795300572","https://openalex.org/W2947683354","https://openalex.org/W2956437189","https://openalex.org/W3187867541","https://openalex.org/W4230704549","https://openalex.org/W4250936702","https://openalex.org/W6744188638"],"related_works":["https://openalex.org/W2139793004","https://openalex.org/W2097396029","https://openalex.org/W4297796009","https://openalex.org/W2172267623","https://openalex.org/W1513162701","https://openalex.org/W1843307665","https://openalex.org/W1489621653","https://openalex.org/W2106791386","https://openalex.org/W2029659389","https://openalex.org/W3082838280"],"abstract_inverted_index":{"In":[0],"extant":[1],"radar":[2],"signal":[3],"processing":[4,163],"systems,":[5],"detection":[6,32,77,85,100,162],"and":[7,13,34,48,96,109,119,143,173],"tracking":[8,22,26,128,182],"are":[9,16],"carried":[10],"out":[11],"independently,":[12],"detected":[14],"measurements":[15],"utilized":[17],"as":[18],"inputs":[19],"to":[20,104],"the":[21,25,72,80,88,91,98,106,116,136,139,144,155,167,174],"procedure.":[23],"Therefore,":[24],"performance":[27,36],"is":[28,102,149],"highly":[29],"associated":[30],"with":[31,61,76,161],"accuracy,":[33],"this":[35,62,64],"may":[37],"severely":[38],"degrade":[39],"when":[40],"detections":[41],"include":[42],"a":[43,67,131],"mass":[44],"of":[45,90,126,181],"false":[46],"alarms":[47],"missed-targets":[49],"errors,":[50],"especially":[51],"in":[52,130,179],"dense":[53,133],"clutter":[54,132],"or":[55],"closely-spaced":[56],"trajectories":[57],"scenarios.":[58],"To":[59],"deal":[60],"issue,":[63],"paper":[65],"proposes":[66],"novel":[68],"method":[69,164],"for":[70,115],"integrating":[71],"multiple":[73,92,140,157,169],"hypothesis":[74,93,141,158,170],"tracker":[75,94,159,171],"processing.":[78],"Specifically,":[79],"detector":[81],"acquires":[82],"an":[83],"adaptive":[84],"threshold":[86,101,114],"from":[87],"output":[89],"algorithm,":[95,148],"then":[97],"obtained":[99],"employed":[103],"compute":[105],"score":[107],"function":[108],"sequential":[110],"probability":[111],"ratio":[112],"test":[113],"data":[117],"association":[118],"track":[120],"estimation":[121],"tasks.":[122],"A":[123],"comparative":[124],"analysis":[125],"three":[127],"algorithms":[129],"scenario,":[134],"including":[135],"proposed":[137,156],"method,":[138],"tracker,":[142],"global":[145,175],"nearest":[146,176],"neighbor":[147,177],"conducted.":[150],"Simulation":[151],"results":[152],"demonstrate":[153],"that":[154],"integrated":[160],"outperforms":[165],"both":[166],"standard":[168],"algorithm":[172,178],"terms":[180],"accuracy.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
