{"id":"https://openalex.org/W2029709957","doi":"https://doi.org/10.1109/icassp.2013.6638422","title":"A linear complexity particle approach to the exact multi-sensor PHD","display_name":"A linear complexity particle approach to the exact multi-sensor PHD","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2029709957","doi":"https://doi.org/10.1109/icassp.2013.6638422","mag":"2029709957"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5042374975","display_name":"Paolo Braca","orcid":"https://orcid.org/0000-0002-3762-4373"},"institutions":[{"id":"https://openalex.org/I4210162703","display_name":"North Atlantic Treaty Organization","ror":"https://ror.org/05xagc088","country_code":"BE","type":"funder","lineage":["https://openalex.org/I4210162703"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Paolo Braca","raw_affiliation_strings":["Research Department, NATO STO-CMRE, Italy","Res. Dept., NATO STO CMRE, La Spezia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Department, NATO STO-CMRE, Italy","institution_ids":["https://openalex.org/I4210162703"]},{"raw_affiliation_string":"Res. Dept., NATO STO CMRE, La Spezia, Italy","institution_ids":["https://openalex.org/I4210162703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088577155","display_name":"Stefano Maran\u00f2","orcid":"https://orcid.org/0000-0002-5307-0980"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Marano","raw_affiliation_strings":["Research Department, NATO STO-CMRE, DIEII, University of Salerno, Italy","DIEII, Univ. of Salerno, Salerno, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Department, NATO STO-CMRE, DIEII, University of Salerno, Italy","institution_ids":["https://openalex.org/I131729948"]},{"raw_affiliation_string":"DIEII, Univ. of Salerno, Salerno, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033752533","display_name":"Vincenzo Matta","orcid":"https://orcid.org/0000-0002-2046-4027"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Matta","raw_affiliation_strings":["Research Department, NATO STO-CMRE, DIEII, University of Salerno, Italy","DIEII, Univ. of Salerno, Salerno, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Department, NATO STO-CMRE, DIEII, University of Salerno, Italy","institution_ids":["https://openalex.org/I131729948"]},{"raw_affiliation_string":"DIEII, Univ. of Salerno, Salerno, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019392883","display_name":"Peter Willett","orcid":"https://orcid.org/0000-0001-8443-5586"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Willett","raw_affiliation_strings":["University of Connecticut, Storrs, CT, US","ECE Department University of Connecticut Storrs, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, CT, US","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"ECE Department University of Connecticut Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7336","issue":null,"first_page":"4061","last_page":"4065"},"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":0.9975000023841858,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9855999946594238,"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/particle-filter","display_name":"Particle filter","score":0.7702170610427856},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5894519090652466},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5787808895111084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5761423707008362},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5691107511520386},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5465025305747986},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5399503707885742},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4871346652507782},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45163780450820923},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43515971302986145},{"id":"https://openalex.org/keywords/finite-set","display_name":"Finite set","score":0.42321544885635376},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35424065589904785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.328940212726593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25200921297073364},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12170132994651794},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08389529585838318}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7702170610427856},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5894519090652466},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5787808895111084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5761423707008362},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5691107511520386},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5465025305747986},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5399503707885742},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4871346652507782},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45163780450820923},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43515971302986145},{"id":"https://openalex.org/C162392398","wikidata":"https://www.wikidata.org/wiki/Q272404","display_name":"Finite set","level":2,"score":0.42321544885635376},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35424065589904785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.328940212726593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25200921297073364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12170132994651794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08389529585838318},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6638422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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":14,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W1504091816","https://openalex.org/W1568122762","https://openalex.org/W1999890569","https://openalex.org/W2014787937","https://openalex.org/W2044343239","https://openalex.org/W2052197092","https://openalex.org/W2053286025","https://openalex.org/W2098296991","https://openalex.org/W2110341111","https://openalex.org/W2127976441","https://openalex.org/W2161435744","https://openalex.org/W2525528836","https://openalex.org/W6630367669"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W2556064263","https://openalex.org/W1991846142","https://openalex.org/W1583020711","https://openalex.org/W1589286931","https://openalex.org/W1521151968","https://openalex.org/W2900672867","https://openalex.org/W1690802106","https://openalex.org/W2128655648","https://openalex.org/W2033368883"],"abstract_inverted_index":{"Recently":[0],"it":[1,108],"has":[2,12],"been":[3],"shown":[4],"that":[5,107],"the":[6,17,27,31,36,45,53,61,68,71,74,117],"Multi-Sensor":[7],"Probability":[8],"Hypothesis":[9],"Density":[10],"(MS-PHD)":[11],"some":[13],"optimality":[14],"properties":[15],"in":[16,35,65,81,130],"regime":[18],"of":[19,22,30,47,73,119],"large":[20,123],"number":[21,46,118],"sensors":[23,48,120],"[1,":[24],"2],":[25],"achieving":[26],"same":[28],"performance":[29],"Bayes":[32,76],"multi-sensor/multi-target":[33],"posterior":[34,77],"Random":[37],"Finite":[38],"Set":[39],"(RFS)":[40],"framework":[41],"[3].":[42],"However,":[43],"when":[44],"N":[49],"is":[50,78,100,109,121],"relatively":[51],"large,":[52],"traditional":[54],"PHD":[55],"filter":[56],"loses":[57],"its":[58,90],"computational":[59],"efficiency,":[60],"complexity":[62,72],"being":[63],"exponential":[64],"N.":[66],"On":[67],"other":[69],"hand,":[70],"full":[75],"only":[79],"linear":[80],"N,":[82],"and":[83,103,127],"this":[84],"paper":[85],"suggests":[86],"an":[87],"idea":[88],"for":[89],"computation":[91],"using":[92],"Sequential":[93],"Monte":[94],"Carlo":[95],"(SMC)":[96],"methods.":[97],"The":[98],"MS-PHD":[99],"then":[101],"evaluated,":[102],"numerical":[104],"examples":[105],"show":[106],"possible":[110],"to":[111],"deal":[112],"with":[113],"a":[114],"scenario":[115],"where":[116],"very":[122],"while":[124],"targets,":[125],"appearing":[126],"disappearing,":[128],"evolve":[129],"time.":[131]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}