{"id":"https://openalex.org/W2798982276","doi":"https://doi.org/10.1109/acssc.2017.8335475","title":"Target tracking via recursive Bayesian state estimation in radar networks","display_name":"Target tracking via recursive Bayesian state estimation in radar networks","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2798982276","doi":"https://doi.org/10.1109/acssc.2017.8335475","mag":"2798982276"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2017.8335475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/1435261","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005434515","display_name":"Yijian Xiang","orcid":"https://orcid.org/0000-0001-9069-1084"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yijian Xiang","raw_affiliation_strings":["Department of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111898982","display_name":"Murat Ak\u00e7akaya","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murat Akcakaya","raw_affiliation_strings":["Department of Electrical and Computer Engineering; University of Pittsburgh; Pittsburgh PA 15213 USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering; University of Pittsburgh; Pittsburgh PA 15213 USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023382504","display_name":"Satyabrata Sen","orcid":"https://orcid.org/0000-0001-9918-4409"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satyabrata Sen","raw_affiliation_strings":["Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN\u00a037831, USA"],"affiliations":[{"raw_affiliation_string":"Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN\u00a037831, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083261801","display_name":"Deniz Erdo\u011fmu\u015f","orcid":"https://orcid.org/0000-0002-1114-3539"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deniz Erdogmus","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA#TAB#","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031212309","display_name":"Arye Nehorai","orcid":"https://orcid.org/0000-0002-9055-9865"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arye Nehorai","raw_affiliation_strings":["Department of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005434515"],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":0.2077,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67735444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"880","last_page":"884"},"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":0.9966999888420105,"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":0.9848999977111816,"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/computer-science","display_name":"Computer science","score":0.6672859191894531},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.6540864706039429},{"id":"https://openalex.org/keywords/recursive-bayesian-estimation","display_name":"Recursive Bayesian estimation","score":0.6415392160415649},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5863525867462158},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5502774715423584},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5485799908638},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4993019104003906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4964645504951477},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4148048758506775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3316913843154907},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2758587598800659},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22458350658416748},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12695208191871643}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6672859191894531},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.6540864706039429},{"id":"https://openalex.org/C40343088","wikidata":"https://www.wikidata.org/wiki/Q3059012","display_name":"Recursive Bayesian estimation","level":3,"score":0.6415392160415649},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5863525867462158},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5502774715423584},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5485799908638},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4993019104003906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4964645504951477},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4148048758506775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3316913843154907},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2758587598800659},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22458350658416748},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12695208191871643},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acssc.2017.8335475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1435261","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1435261","pdf_url":"https://www.osti.gov/servlets/purl/1435261","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1435261","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1435261","pdf_url":"https://www.osti.gov/servlets/purl/1435261","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2798982276.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1511274691","https://openalex.org/W1589161654","https://openalex.org/W1967591118","https://openalex.org/W1994096034","https://openalex.org/W1995304567","https://openalex.org/W2042662106","https://openalex.org/W2063146632","https://openalex.org/W2065070128","https://openalex.org/W2100039019","https://openalex.org/W2100729440","https://openalex.org/W2109210542","https://openalex.org/W2111034477","https://openalex.org/W2155881359","https://openalex.org/W2166000463","https://openalex.org/W2169207653","https://openalex.org/W2195832715","https://openalex.org/W2238582461","https://openalex.org/W2272897035","https://openalex.org/W2510079759","https://openalex.org/W2963411167","https://openalex.org/W6630501594","https://openalex.org/W6675215815","https://openalex.org/W6725465453"],"related_works":["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","https://openalex.org/W4238841260","https://openalex.org/W2347570245","https://openalex.org/W2075085022"],"abstract_inverted_index":{"Modern":[0],"cognitive":[1,7],"radar":[2,55,62],"networks":[3],"incorporating":[4],"intelligent":[5],"and":[6,15,37,53,61,91,94,114],"support-modules":[8],"can":[9],"actively":[10],"adjust":[11],"the":[12,24,30,66,80,86,97,104,116],"radar-target":[13],"geometry":[14],"optimally":[16],"select":[17,85],"a":[18,45,75],"subset":[19,88],"of":[20,26,32,89],"radars":[21,90],"to":[22,84],"track":[23],"target":[25,49,98],"interest.":[27],"Based":[28],"on":[29,79],"theories":[31],"dynamic":[33],"graphical":[34],"models":[35],"(DGM)":[36],"recursive":[38],"Bayesian":[39],"state":[40],"estimation":[41],"(RBSE),":[42],"we":[43],"propose":[44],"framework":[46,106],"for":[47],"single":[48],"tracking":[50,67,96,117],"in":[51,111],"mobile":[52],"cooperative":[54],"networks,":[56],"jointly":[57],"considering":[58],"path":[59],"planning":[60],"selection.":[63],"We":[64,102],"formulate":[65],"procedure":[68],"as":[69],"two":[70],"iterative":[71],"steps:":[72],"(i)":[73],"solving":[74],"combinatorial":[76],"problem":[77],"based":[78],"expected":[81],"cross-entropy":[82],"measure":[83],"optimal":[87],"their":[92],"locations,":[93],"(ii)":[95],"using":[99,107],"RBSE":[100],"technique.":[101],"simulate":[103],"proposed":[105],"an":[108],"illustrative":[109],"example":[110],"2-D":[112],"space":[113],"demonstrate":[115],"performance.":[118]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
