{"id":"https://openalex.org/W4386160370","doi":"https://doi.org/10.23919/fusion52260.2023.10224229","title":"Large-Scale Space Object Tracking in a Proliferated LEO Scenario","display_name":"Large-Scale Space Object Tracking in a Proliferated LEO Scenario","publication_year":2023,"publication_date":"2023-06-28","ids":{"openalex":"https://openalex.org/W4386160370","doi":"https://doi.org/10.23919/fusion52260.2023.10224229"},"language":"en","primary_location":{"id":"doi:10.23919/fusion52260.2023.10224229","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion52260.2023.10224229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086655332","display_name":"Benjamin L. Reifler","orcid":"https://orcid.org/0000-0001-9823-7628"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin L. Reifler","raw_affiliation_strings":["The University of Texas at Austin,Department of Aerospace Engineering and Enginering Mechanics,Austin,TX,USA","Department of Aerospace Engineering and Enginering Mechanics, The University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department of Aerospace Engineering and Enginering Mechanics,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Aerospace Engineering and Enginering Mechanics, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101938850","display_name":"Andrey A. Popov","orcid":"https://orcid.org/0000-0002-7726-6224"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrey A. Popov","raw_affiliation_strings":["The University of Texas at Austin,Oden Institute for Computational Engineering & Sciences,Austin,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Oden Institute for Computational Engineering & Sciences,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076017664","display_name":"Brandon A. Jones","orcid":"https://orcid.org/0000-0003-3480-6320"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon A. Jones","raw_affiliation_strings":["The University of Texas at Austin,Department of Aerospace Engineering and Enginering Mechanics,Austin,TX,USA","Department of Aerospace Engineering and Enginering Mechanics, The University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department of Aerospace Engineering and Enginering Mechanics,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Aerospace Engineering and Enginering Mechanics, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052167629","display_name":"Renato Zanetti","orcid":"https://orcid.org/0000-0001-9669-7428"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Renato Zanetti","raw_affiliation_strings":["The University of Texas at Austin,Department of Aerospace Engineering and Enginering Mechanics,Austin,TX,USA","Department of Aerospace Engineering and Enginering Mechanics, The University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department of Aerospace Engineering and Enginering Mechanics,Austin,TX,USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Aerospace Engineering and Enginering Mechanics, The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":1.9601,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88706754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9973000288009644,"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":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7082255482673645},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6250951290130615},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6048972606658936},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.5913400053977966},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4803663194179535},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4696608781814575},{"id":"https://openalex.org/keywords/constellation","display_name":"Constellation","score":0.45117300748825073},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4498912990093231},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4446653127670288},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44057032465934753},{"id":"https://openalex.org/keywords/orbit","display_name":"Orbit (dynamics)","score":0.440054714679718},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38119977712631226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3355294466018677},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.10630360245704651}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7082255482673645},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6250951290130615},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6048972606658936},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.5913400053977966},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4803663194179535},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4696608781814575},{"id":"https://openalex.org/C70352696","wikidata":"https://www.wikidata.org/wiki/Q8928","display_name":"Constellation","level":2,"score":0.45117300748825073},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4498912990093231},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4446653127670288},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44057032465934753},{"id":"https://openalex.org/C196644772","wikidata":"https://www.wikidata.org/wiki/Q3884964","display_name":"Orbit (dynamics)","level":2,"score":0.440054714679718},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38119977712631226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3355294466018677},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.10630360245704651},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fusion52260.2023.10224229","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion52260.2023.10224229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W1523217322","https://openalex.org/W1909771825","https://openalex.org/W2003514975","https://openalex.org/W2014787937","https://openalex.org/W2049244691","https://openalex.org/W2053987409","https://openalex.org/W2087652496","https://openalex.org/W2126423185","https://openalex.org/W2126885789","https://openalex.org/W2129905273","https://openalex.org/W2137585588","https://openalex.org/W2154353836","https://openalex.org/W2174784159","https://openalex.org/W2322186434","https://openalex.org/W2475643257","https://openalex.org/W2898053018","https://openalex.org/W2963272312","https://openalex.org/W3159387830","https://openalex.org/W4225978443","https://openalex.org/W6601393910"],"related_works":["https://openalex.org/W2927378857","https://openalex.org/W2801696468","https://openalex.org/W2406829934","https://openalex.org/W1824810860","https://openalex.org/W2185006999","https://openalex.org/W2162253570","https://openalex.org/W1583020711","https://openalex.org/W2138381686","https://openalex.org/W2010934810","https://openalex.org/W3144709167"],"abstract_inverted_index":{"The":[0,22,97],"proliferation":[1],"of":[2,26,35,42,50,70,80,84,93,119,144],"large":[3],"satellite":[4],"constellations":[5],"in":[6,28],"low":[7],"Earth":[8],"orbit":[9,129],"(LEO)":[10],"is":[11,73,99],"dramatically":[12],"increasing":[13],"demand":[14],"on":[15,101,116],"existing":[16],"systems":[17],"for":[18,140],"space":[19,113],"domain":[20],"awareness.":[21],"rapidly":[23],"growing":[24],"number":[25,69,143],"objects":[27,88],"LEO":[29,87],"will":[30],"reduce":[31],"the":[32,40,91,102,121,142],"average":[33],"rate":[34],"observations":[36],"per":[37],"object,":[38],"necessitating":[39],"development":[41],"multi-target":[43,64],"algorithms":[44],"that":[45,62,66],"can":[46],"handle":[47],"higher":[48],"levels":[49],"data":[51],"sparsity":[52],"without":[53,89],"sacrificing":[54],"computational":[55,151],"efficiency.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,154],"demonstrate":[61],"a":[63,68,81,135],"filter":[65,98,125],"combines":[67],"useful":[71],"capabilities":[72],"able":[74],"to":[75,147,156],"track":[76],"and":[77,107,127,150],"maintain":[78],"custody":[79],"simulated":[82],"population":[83],"over":[85],"16,000":[86],"requiring":[90],"use":[92],"high-performance":[94],"computing":[95],"facilities.":[96],"based":[100,115],"generalized":[103],"labeled":[104],"multi-Bernoulli":[105],"filter,":[106],"includes":[108],"three":[109],"previously-presented":[110],"features:":[111],"label":[112],"partitioning":[114],"sensor":[117],"fields":[118],"view,":[120],"ensemble":[122],"Gaussian":[123],"mixture":[124],"(EnGMF),":[126],"bi-fidelity":[128],"uncertainty":[130],"propagation.":[131],"We":[132],"also":[133],"introduce":[134],"new,":[136],"algorithmically":[137],"simple":[138],"method":[139],"adjusting":[141],"EnGMF":[145],"particles":[146],"balance":[148],"accuracy":[149],"efficiency,":[152],"which":[153],"refer":[155],"as":[157],"progressive":[158],"resampling.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}