{"id":"https://openalex.org/W4225691050","doi":"https://doi.org/10.1109/taes.2022.3158633","title":"An Efficient Track-Before-Detect for Multi-PRF Radars With Range and Doppler Ambiguities","display_name":"An Efficient Track-Before-Detect for Multi-PRF Radars With Range and Doppler Ambiguities","publication_year":2022,"publication_date":"2022-03-11","ids":{"openalex":"https://openalex.org/W4225691050","doi":"https://doi.org/10.1109/taes.2022.3158633"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2022.3158633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2022.3158633","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5000767481","display_name":"Wujun Li","orcid":"https://orcid.org/0000-0002-8471-9324"},"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":"Wujun Li","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","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":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022778463","display_name":"Lingjiang Kong","orcid":"https://orcid.org/0000-0002-0991-4517"},"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":"Lingjiang Kong","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078754231","display_name":"Kah Chan Teh","orcid":"https://orcid.org/0000-0002-1973-2565"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kah Chan Teh","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000767481"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":4.9655,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.95734355,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"58","issue":"5","first_page":"4083","last_page":"4100"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.998199999332428,"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/radar-tracker","display_name":"Radar tracker","score":0.6291695833206177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6119484901428223},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.530222475528717},{"id":"https://openalex.org/keywords/pulse-repetition-frequency","display_name":"Pulse repetition frequency","score":0.5038730502128601},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.48567521572113037},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4513494074344635},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4399510622024536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4260433614253998},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.40992650389671326},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37097927927970886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2951757311820984},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12792348861694336},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1043103039264679},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09270775318145752}],"concepts":[{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.6291695833206177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6119484901428223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.530222475528717},{"id":"https://openalex.org/C182862853","wikidata":"https://www.wikidata.org/wiki/Q575887","display_name":"Pulse repetition frequency","level":3,"score":0.5038730502128601},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.48567521572113037},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4513494074344635},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4399510622024536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4260433614253998},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.40992650389671326},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37097927927970886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2951757311820984},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12792348861694336},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1043103039264679},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09270775318145752},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taes.2022.3158633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2022.3158633","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/163763","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/163763","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2772875376","display_name":null,"funder_award_id":"61871103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6534452397","display_name":null,"funder_award_id":"61771110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8328824696","display_name":null,"funder_award_id":"U19B2017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8978917354","display_name":null,"funder_award_id":"B17008","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W44159737","https://openalex.org/W595851582","https://openalex.org/W1501739804","https://openalex.org/W1564629292","https://openalex.org/W1646998587","https://openalex.org/W1683353658","https://openalex.org/W1780608253","https://openalex.org/W1880681092","https://openalex.org/W1967885579","https://openalex.org/W1971008109","https://openalex.org/W1973792507","https://openalex.org/W1985690368","https://openalex.org/W1991810414","https://openalex.org/W1996452649","https://openalex.org/W2031702911","https://openalex.org/W2038908796","https://openalex.org/W2048605796","https://openalex.org/W2052240371","https://openalex.org/W2058130919","https://openalex.org/W2064203151","https://openalex.org/W2067341428","https://openalex.org/W2067869301","https://openalex.org/W2085283680","https://openalex.org/W2097785478","https://openalex.org/W2113908741","https://openalex.org/W2114512496","https://openalex.org/W2115690580","https://openalex.org/W2121474958","https://openalex.org/W2129078811","https://openalex.org/W2129223507","https://openalex.org/W2129708101","https://openalex.org/W2137062348","https://openalex.org/W2140269179","https://openalex.org/W2148749846","https://openalex.org/W2155680787","https://openalex.org/W2156096110","https://openalex.org/W2158399880","https://openalex.org/W2169396814","https://openalex.org/W2172234900","https://openalex.org/W2398053359","https://openalex.org/W2479138194","https://openalex.org/W2586283610","https://openalex.org/W2612889333","https://openalex.org/W2617254988","https://openalex.org/W2748542155","https://openalex.org/W2891645143","https://openalex.org/W2912627413","https://openalex.org/W2932703605","https://openalex.org/W2953526693","https://openalex.org/W2975094552","https://openalex.org/W2980092435","https://openalex.org/W3008383159","https://openalex.org/W3016090991","https://openalex.org/W3022683222","https://openalex.org/W3112776499","https://openalex.org/W3132328797","https://openalex.org/W4239111070","https://openalex.org/W6677793523","https://openalex.org/W6679017178","https://openalex.org/W6776157429"],"related_works":["https://openalex.org/W1533252844","https://openalex.org/W2788344745","https://openalex.org/W4243232219","https://openalex.org/W2062336688","https://openalex.org/W2124726941","https://openalex.org/W1182702830","https://openalex.org/W3116301466","https://openalex.org/W2141813416","https://openalex.org/W2000005233","https://openalex.org/W1991810414"],"abstract_inverted_index":{"This":[0],"article":[1],"considers":[2],"the":[3,18,24,32,65,70,83,87,107,111,125,142,145,157],"detection":[4,164],"and":[5,35,79,93,110,135,148,166],"tracking":[6,168],"of":[7,45,144],"weak":[8],"targets":[9],"in":[10,69],"multiple":[11],"pulse":[12],"repetition":[13],"frequency":[14],"(multi-PRF)":[15],"radars":[16],"using":[17,106],"track-before-detect":[19],"(TBD)":[20],"technique.":[21],"By":[22],"exploring":[23],"measurement":[25,84,113],"independence":[26],"among":[27],"different":[28,117,122],"PRFs,":[29],"we":[30],"decompose":[31],"joint":[33,133],"multi-PRF":[34,66],"multiframe":[36,51,98],"optimization":[37],"problem":[38],"into":[39],"several":[40],"lower":[41,172],"dimensional":[42],"maximizations,":[43],"each":[44],"which":[46],"corresponds":[47],"to":[48,81,140],"an":[49],"intra-PRF":[50,97],"processing.":[52],"An":[53],"efficient":[54],"two-stage":[55],"TBD":[56],"procedure":[57],"with":[58,116,170],"a":[59,73,128,162],"parallel":[60],"structure":[61],"is":[62,76,138],"proposed":[63,139,158],"for":[64,121],"radars.":[67],"Specifically,":[68],"first":[71],"stage,":[72,127],"constraint":[74],"inequality":[75],"derived":[77],"analytically":[78],"used":[80],"decouple":[82],"ambiguities":[85,118,143],"from":[86],"nonlinear":[88],"conversion":[89],"relationship":[90],"between":[91],"polar":[92],"Cartesian":[94],"coordinates.":[95],"The":[96],"integration":[99],"can":[100,160],"then":[101],"be":[102],"carried":[103],"out":[104],"concurrently":[105],"ambiguous":[108],"measurements":[109],"target-like":[112],"plot":[114,146],"sequences":[115,147],"are":[119],"extracted":[120],"PRFs.":[123],"In":[124],"second":[126],"covariance":[129],"combination":[130],"fusion-based":[131],"inter-PRF":[132],"disambiguation":[134],"estimation":[136],"algorithm":[137,159],"solve":[141],"output":[149],"high-accuracy":[150],"target":[151],"tracks.":[152],"Simulation":[153],"experiments":[154],"show":[155],"that":[156],"provide":[161],"good":[163],"performance":[165],"higher":[167],"accuracy":[169],"much":[171],"complexity.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
