{"id":"https://openalex.org/W2051257992","doi":"https://doi.org/10.1109/sam.2012.6250552","title":"Distributed posterior Cram&amp;#x00E9;r-Rao lower bound for nonlinear sequential Bayesian estimation","display_name":"Distributed posterior Cram&amp;#x00E9;r-Rao lower bound for nonlinear sequential Bayesian estimation","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2051257992","doi":"https://doi.org/10.1109/sam.2012.6250552","mag":"2051257992"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2012.6250552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2012.6250552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5058253407","display_name":"Arash Mohammadi","orcid":"https://orcid.org/0000-0003-1972-7923"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Arash Mohammadi","raw_affiliation_strings":["Computer Science and Engineering, York University, Toronto, ONT, Canada","Computer Science and Engineering, York University, Toronto, ON, Canada M3J 1P3"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, York University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Computer Science and Engineering, York University, Toronto, ON, Canada M3J 1P3","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059155086","display_name":"Amir Asif","orcid":"https://orcid.org/0000-0002-9393-7112"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amir Asif","raw_affiliation_strings":["Computer Science and Engineering, York University, Toronto, ONT, Canada","Computer Science and Engineering, York University, Toronto, ON, Canada M3J 1P3"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, York University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Computer Science and Engineering, York University, Toronto, ON, Canada M3J 1P3","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058253407"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":3.4251,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92590075,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":null,"first_page":"509","last_page":"512"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9991999864578247,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.6628769636154175},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6499831676483154},{"id":"https://openalex.org/keywords/fisher-information","display_name":"Fisher information","score":0.6068156957626343},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.54278165102005},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.528490424156189},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5059983134269714},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4818509817123413},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.44774892926216125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2534499168395996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1302151083946228},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12382137775421143},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11247703433036804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6628769636154175},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6499831676483154},{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.6068156957626343},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.54278165102005},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.528490424156189},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5059983134269714},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4818509817123413},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.44774892926216125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2534499168395996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1302151083946228},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12382137775421143},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11247703433036804},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam.2012.6250552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2012.6250552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1984197955","https://openalex.org/W2034663708","https://openalex.org/W2035537441","https://openalex.org/W2043547735","https://openalex.org/W2098694296","https://openalex.org/W2104130465","https://openalex.org/W2112539554","https://openalex.org/W2114490950","https://openalex.org/W2115543721","https://openalex.org/W2128198741","https://openalex.org/W2339535432","https://openalex.org/W2542595939"],"related_works":["https://openalex.org/W3012088032","https://openalex.org/W2238904537","https://openalex.org/W2776312158","https://openalex.org/W1965458961","https://openalex.org/W4294328901","https://openalex.org/W2042150869","https://openalex.org/W3185610468","https://openalex.org/W2952582351","https://openalex.org/W3175371768","https://openalex.org/W2384510221"],"abstract_inverted_index":{"In":[0,104],"distributed":[1,63,74,102,131,135],"sensor":[2,20,25,64],"networks,":[3],"the":[4,35,42,47,73,97,101,114,121,124,130,140],"posterior":[5],"Cram\u00e9r-Rao":[6],"lower":[7],"bound":[8],"(PCRLB)":[9],"has":[10,76],"recently":[11,67],"been":[12,77],"used":[13,143],"[1]":[14,71],"as":[15],"a":[16,55,68,109],"selection":[17],"criteria":[18],"for":[19,46,62,72,100],"management":[21],"decisions,":[22],"where":[23],"new":[24],"nodes":[26],"are":[27,44],"deployed":[28],"or":[29],"existing":[30],"ones":[31],"reactivated":[32],"to":[33,40,84,112],"optimize":[34],"network's":[36],"performance.":[37],"Previous":[38],"algorithms":[39],"compute":[41],"PCRLB":[43,99,136],"derived":[45],"centralized":[48,148],"[2]":[49],"and":[50,144],"hierarchical":[51],"architectures":[52],"[3]":[53],"using":[54],"fusion":[56],"centre":[57],"that":[58],"makes":[59],"them":[60],"inappropriate":[61],"management.":[65],"Only":[66],"suboptimal":[69],"expression":[70],"architecture":[75],"proposed,":[78],"which":[79],"can":[80],"at":[81],"times":[82],"lead":[83],"large":[85],"errors":[86],"especially":[87],"in":[88],"systems":[89],"with":[90],"highly":[91],"non-linear":[92],"dynamics.":[93],"The":[94,133],"paper":[95],"derives":[96],"optimal":[98],"architecture.":[103],"other":[105],"words,":[106],"we":[107],"derive":[108],"recursive":[110],"procedure":[111],"determine":[113],"overall":[115],"Fisher":[116],"information":[117],"matrix":[118],"(FIM),":[119],"i.e.,":[120],"inverse":[122],"of":[123,129,139],"PCRLB,":[125],"from":[126],"local":[127],"FIMs":[128],"estimators.":[132],"proposed":[134],"is":[137],"independent":[138],"filtering":[141],"mechanism":[142],"closely":[145],"follows":[146],"its":[147],"counterpart.":[149]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
