{"id":"https://openalex.org/W4392543669","doi":"https://doi.org/10.1109/tsp.2024.3374047","title":"Multisensor Multiobject Tracking With Improved Sampling Efficiency","display_name":"Multisensor Multiobject Tracking With Improved Sampling Efficiency","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392543669","doi":"https://doi.org/10.1109/tsp.2024.3374047"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2024.3374047","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3374047","pdf_url":"https://ieeexplore.ieee.org/ielx7/78/4359509/10462619.pdf","source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/78/4359509/10462619.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100385204","display_name":"Wenyu Zhang","orcid":"https://orcid.org/0000-0002-5793-0431"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenyu Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California San Diego, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5793-0431","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077882926","display_name":"Florian Meyer","orcid":"https://orcid.org/0000-0001-6985-2250"},"institutions":[{"id":"https://openalex.org/I150209017","display_name":"Scripps Institution of Oceanography","ror":"https://ror.org/04v7hvq31","country_code":"US","type":"facility","lineage":["https://openalex.org/I150209017","https://openalex.org/I36258959"]},{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Florian Meyer","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Scripps Institution of Oceanography, University of California San Diego, CA, USA","Scripps Institution of Oceanography and the Department of Electrical and Computer Engineering, University of California San Diego, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6985-2250","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Scripps Institution of Oceanography, University of California San Diego, CA, USA","institution_ids":["https://openalex.org/I150209017","https://openalex.org/I36258959"]},{"raw_affiliation_string":"Scripps Institution of Oceanography and the Department of Electrical and Computer Engineering, University of California San Diego, CA, USA","institution_ids":["https://openalex.org/I150209017","https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4455,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.94963713,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"2036","last_page":"2053"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5830872058868408},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4923974275588989},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.473268985748291},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.47004976868629456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45014503598213196},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4281262159347534},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3554084300994873},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1705944836139679},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.11107677221298218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5830872058868408},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4923974275588989},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.473268985748291},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.47004976868629456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45014503598213196},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4281262159347534},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3554084300994873},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1705944836139679},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.11107677221298218},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/tsp.2024.3374047","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3374047","pdf_url":"https://ieeexplore.ieee.org/ielx7/78/4359509/10462619.pdf","source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tsp.2024.3374047","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3374047","pdf_url":"https://ieeexplore.ieee.org/ielx7/78/4359509/10462619.pdf","source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7900000214576721,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G278870828","display_name":null,"funder_award_id":"2146261","funder_id":"https://openalex.org/F4320332169","funder_display_name":"Directorate for Computer and Information Science and Engineering"},{"id":"https://openalex.org/G8885536255","display_name":null,"funder_award_id":"FA8702-15-D-0001","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320332169","display_name":"Directorate for Computer and Information Science and Engineering","ror":"https://ror.org/025kzpk63"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392543669.pdf","grobid_xml":"https://content.openalex.org/works/W4392543669.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W35781033","https://openalex.org/W116417043","https://openalex.org/W563618736","https://openalex.org/W1483307070","https://openalex.org/W1531532259","https://openalex.org/W1670531616","https://openalex.org/W2002594585","https://openalex.org/W2012197287","https://openalex.org/W2022681226","https://openalex.org/W2053257056","https://openalex.org/W2059486814","https://openalex.org/W2069963355","https://openalex.org/W2076538312","https://openalex.org/W2076840531","https://openalex.org/W2098613108","https://openalex.org/W2109839958","https://openalex.org/W2110012495","https://openalex.org/W2120007881","https://openalex.org/W2123487311","https://openalex.org/W2126885789","https://openalex.org/W2127923214","https://openalex.org/W2129905273","https://openalex.org/W2131598171","https://openalex.org/W2132417837","https://openalex.org/W2137813581","https://openalex.org/W2157316965","https://openalex.org/W2160337655","https://openalex.org/W2168634963","https://openalex.org/W2325850497","https://openalex.org/W2327669095","https://openalex.org/W2503670596","https://openalex.org/W2511568459","https://openalex.org/W2540670477","https://openalex.org/W2707957266","https://openalex.org/W2724476264","https://openalex.org/W2735102987","https://openalex.org/W2786070790","https://openalex.org/W2791318716","https://openalex.org/W2802412176","https://openalex.org/W2834583499","https://openalex.org/W2892370975","https://openalex.org/W2903854276","https://openalex.org/W2945747947","https://openalex.org/W2963272312","https://openalex.org/W2982582821","https://openalex.org/W2990650678","https://openalex.org/W3004687761","https://openalex.org/W3027388300","https://openalex.org/W3096432621","https://openalex.org/W3100465872","https://openalex.org/W3124778572","https://openalex.org/W3133603318","https://openalex.org/W3176603920","https://openalex.org/W3189570269","https://openalex.org/W3200180699","https://openalex.org/W3210977953","https://openalex.org/W4214641456","https://openalex.org/W4224927701","https://openalex.org/W4231665431","https://openalex.org/W4240105987","https://openalex.org/W4313180821","https://openalex.org/W4318038591","https://openalex.org/W4367668506"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2158788032","https://openalex.org/W2105035414","https://openalex.org/W2553357593","https://openalex.org/W337130175","https://openalex.org/W2380612839","https://openalex.org/W1567854708","https://openalex.org/W2394397806","https://openalex.org/W2653893021","https://openalex.org/W4235384131"],"abstract_inverted_index":{"Passive":[0],"monitoring":[1,22,170],"of":[2,60,98,108,118,125,187],"acoustic":[3,169],"or":[4,73],"radio":[5],"sources":[6,174],"has":[7],"important":[8],"applications":[9],"in":[10,20,57,143,166,177],"modern":[11],"convenience,":[12],"public":[13],"safety,":[14],"and":[15,46,63,68,139,195],"surveillance.":[16],"A":[17],"key":[18],"task":[19],"passive":[21,168],"is":[23,55],"multiobject":[24],"tracking":[25,38,140],"(MOT).":[26],"This":[27,130],"paper":[28],"presents":[29],"a":[30,50,89,126,154,163,167],"Bayesian":[31],"method":[32,54],"for":[33,36],"multisensor":[34,145],"MOT":[35,146],"challenging":[37,144],"problems":[39],"where":[40,172],"the":[41,47,58,64,83,96,99,123,158],"object":[42,137,159],"states":[43],"are":[44,85,114,175],"high-dimensional,":[45],"measurements":[48,151,183],"follow":[49],"nonlinear":[51],"model.":[52],"Our":[53,189],"developed":[56],"framework":[59],"factor":[61],"graphs":[62],"sum-product":[65],"algorithm":[66],"(SPA)":[67],"implemented":[69],"using":[70],"random":[71],"samples":[72],"\u201cparticles\u201d.":[74],"The":[75],"multimodal":[76],"probability":[77],"density":[78],"functions":[79],"(pdfs)":[80],"provided":[81,184],"by":[82,88,185],"SPA":[84,100],"effectively":[86],"represented":[87],"Gaussian":[90],"mixture":[91],"model":[92],"(GMM).":[93],"To":[94],"perform":[95,162],"operations":[97],"with":[101,148],"improved":[102],"sample":[103],"efficiency,":[104],"we":[105],"make":[106],"use":[107],"particle":[109],"flow":[110],"(PFL).":[111],"Here,":[112],"particles":[113],"migrated":[115],"towards":[116],"regions":[117],"high":[119],"likelihood":[120],"based":[121],"on":[122],"solution":[124],"partial":[127],"differential":[128],"equation.":[129],"makes":[131],"it":[132],"possible":[133],"to":[134,199],"obtain":[135],"good":[136],"detection":[138,194],"performance":[141],"even":[142],"scenarios":[147],"single":[149],"sensor":[150],"that":[152],"have":[153],"lower":[155],"dimension":[156],"than":[157],"positions.":[160],"We":[161],"numerical":[164,190],"evaluation":[165],"scenario":[171],"multiple":[173],"tracked":[176],"3-D":[178],"from":[179],"1-D":[180],"time-difference-of-arrival":[181],"(TDOA)":[182],"pairs":[186],"hydrophones.":[188],"results":[191],"demonstrate":[192],"favorable":[193],"estimation":[196],"accuracy":[197],"compared":[198],"state-of-the-art":[200],"reference":[201],"techniques.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
