{"id":"https://openalex.org/W2891864367","doi":"https://doi.org/10.23919/icif.2018.8455302","title":"A Distributed Bernoulli Filter Based on Likelihood Consensus with Adaptive Pruning","display_name":"A Distributed Bernoulli Filter Based on Likelihood Consensus with Adaptive Pruning","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2891864367","doi":"https://doi.org/10.23919/icif.2018.8455302","mag":"2891864367"},"language":"en","primary_location":{"id":"doi:10.23919/icif.2018.8455302","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2018.8455302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Information Fusion (FUSION)","raw_type":"proceedings-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/A5007001665","display_name":"Rene Repp","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Rene Repp","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102868795","display_name":"Giuseppe Papa","orcid":"https://orcid.org/0000-0003-0587-9299"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Giuseppe Papa","raw_affiliation_strings":["Brno University of Technology, Brno, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077882926","display_name":"Florian Meyer","orcid":"https://orcid.org/0000-0001-6985-2250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Florian Meyer","raw_affiliation_strings":["Kognitiv Corporation, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kognitiv Corporation, Vienna, Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042374975","display_name":"Paolo Braca","orcid":"https://orcid.org/0000-0002-3762-4373"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paolo Braca","raw_affiliation_strings":["Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036535440","display_name":"Franz Hlawatsch","orcid":"https://orcid.org/0000-0001-9010-9285"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Franz Hlawatsch","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60724092,"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":"1","last_page":"5"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.996399998664856,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9944000244140625,"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/clutter","display_name":"Clutter","score":0.7508381605148315},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.6507092118263245},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5924400091171265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5751201510429382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5647310614585876},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5259875655174255},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48928090929985046},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4850858747959137},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4429962635040283},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.42000243067741394},{"id":"https://openalex.org/keywords/bernoulli-distribution","display_name":"Bernoulli distribution","score":0.41897666454315186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3371705114841461},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3315264582633972},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.14686569571495056},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.13522499799728394},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13354241847991943},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12790337204933167},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09685352444648743},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.096701979637146}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7508381605148315},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.6507092118263245},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5924400091171265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5751201510429382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5647310614585876},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5259875655174255},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48928090929985046},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4850858747959137},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4429962635040283},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42000243067741394},{"id":"https://openalex.org/C27956954","wikidata":"https://www.wikidata.org/wiki/Q391371","display_name":"Bernoulli distribution","level":3,"score":0.41897666454315186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3371705114841461},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3315264582633972},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.14686569571495056},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.13522499799728394},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13354241847991943},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12790337204933167},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09685352444648743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.096701979637146},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icif.2018.8455302","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2018.8455302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st 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":23,"referenced_works":["https://openalex.org/W652333456","https://openalex.org/W1531532259","https://openalex.org/W1903262428","https://openalex.org/W1997942227","https://openalex.org/W2010315317","https://openalex.org/W2014101702","https://openalex.org/W2045834636","https://openalex.org/W2073839155","https://openalex.org/W2075665712","https://openalex.org/W2088117020","https://openalex.org/W2098863504","https://openalex.org/W2127821072","https://openalex.org/W2142300547","https://openalex.org/W2160337655","https://openalex.org/W2160643434","https://openalex.org/W2163599171","https://openalex.org/W2435934363","https://openalex.org/W2572316854","https://openalex.org/W2786070790","https://openalex.org/W3133603318","https://openalex.org/W4244375620","https://openalex.org/W4302564868","https://openalex.org/W6674727558"],"related_works":["https://openalex.org/W2236428207","https://openalex.org/W4366387587","https://openalex.org/W2151706800","https://openalex.org/W2099646276","https://openalex.org/W1982788967","https://openalex.org/W4324123865","https://openalex.org/W2786287312","https://openalex.org/W4237517023","https://openalex.org/W2933707278","https://openalex.org/W3198935159"],"abstract_inverted_index":{"The":[0],"Bernoulli":[1],"filter":[2],"(BF)":[3],"is":[4,104],"a":[5,35,58,88],"Bayes-optimal":[6],"method":[7],"for":[8,47,69,87],"target":[9,13,71],"tracking":[10],"when":[11],"the":[12,24,43,62,81,99,109],"can":[14],"be":[15],"present":[16],"or":[17],"absent":[18],"in":[19],"unknown":[20],"time":[21],"intervals":[22],"and":[23,30,50,73,75,95],"measurements":[25],"are":[26],"affected":[27],"by":[28],"clutter":[29,96],"missed":[31],"detections.":[32],"We":[33],"propose":[34],"distributed":[36,55],"particle-based":[37],"multisensor":[38,45,111],"BF":[39,46],"algorithm":[40,56,103],"that":[41,67,98,107],"approximates":[42],"centralized":[44,110],"arbitrary":[48],"nonlinear":[49],"non-Gaussian":[51],"system":[52],"models.":[53],"Our":[54],"uses":[57],"new":[59],"extension":[60],"of":[61,80,101,108],"likelihood":[63],"consensus":[64],"(LC)":[65],"scheme":[66],"accounts":[68],"both":[70],"presence":[72],"absence":[74],"includes":[76],"an":[77],"adaptive":[78],"pruning":[79],"LC":[82],"expansion":[83],"coefficients.":[84],"Simulation":[85],"results":[86],"heterogeneous":[89],"sensor":[90],"network":[91],"with":[92],"significant":[93],"noise":[94],"show":[97],"performance":[100],"our":[102],"close":[105],"to":[106],"BF.":[112]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}