{"id":"https://openalex.org/W2695232257","doi":"https://doi.org/10.1109/icassp.2017.7952990","title":"Cost-effective diffusion Kalman filtering with implicit measurement exchanges","display_name":"Cost-effective diffusion Kalman filtering with implicit measurement exchanges","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2695232257","doi":"https://doi.org/10.1109/icassp.2017.7952990","mag":"2695232257"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5039156606","display_name":"Sayed Pouria Talebi","orcid":"https://orcid.org/0000-0001-5934-0817"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sayed Pouria Talebi","raw_affiliation_strings":["Electrical and Electronic Engineering Department, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering Department, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076106664","display_name":"Sithan Kanna","orcid":"https://orcid.org/0000-0001-5714-461X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sithan Kanna","raw_affiliation_strings":["Electrical and Electronic Engineering Department, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering Department, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005242197","display_name":"Yili Xia","orcid":"https://orcid.org/0000-0002-4402-8131"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yili Xia","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103001848","display_name":"Danilo P. Mandic","orcid":"https://orcid.org/0000-0001-8432-3963"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danilo P. Mandic","raw_affiliation_strings":["Electrical and Electronic Engineering Department, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering Department, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039156606"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":1.9502,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89403348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3","issue":null,"first_page":"4411","last_page":"4415"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9907000064849854,"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/kalman-filter","display_name":"Kalman filter","score":0.8795446157455444},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.7019699215888977},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6847916841506958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6334700584411621},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5593962669372559},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5334942936897278},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.50111985206604},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47252872586250305},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46636900305747986},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4529631435871124},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.44426995515823364},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.4430791139602661},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.4420968294143677},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.418460875749588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2815842032432556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15097597241401672},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13238167762756348}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8795446157455444},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.7019699215888977},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6847916841506958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334700584411621},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5593962669372559},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5334942936897278},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.50111985206604},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47252872586250305},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46636900305747986},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4529631435871124},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.44426995515823364},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.4430791139602661},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.4420968294143677},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.418460875749588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2815842032432556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15097597241401672},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13238167762756348},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":23,"referenced_works":["https://openalex.org/W1500762955","https://openalex.org/W1528184823","https://openalex.org/W1574797913","https://openalex.org/W1965705620","https://openalex.org/W2024307985","https://openalex.org/W2050386482","https://openalex.org/W2054602340","https://openalex.org/W2081739442","https://openalex.org/W2082673420","https://openalex.org/W2111476572","https://openalex.org/W2116564195","https://openalex.org/W2120286056","https://openalex.org/W2148234182","https://openalex.org/W2153344006","https://openalex.org/W2158191982","https://openalex.org/W2164280966","https://openalex.org/W2169329579","https://openalex.org/W2476841360","https://openalex.org/W2535832630","https://openalex.org/W2962883526","https://openalex.org/W2963157432","https://openalex.org/W3104550706","https://openalex.org/W4238850922"],"related_works":["https://openalex.org/W2150837402","https://openalex.org/W3190919334","https://openalex.org/W4206024512","https://openalex.org/W2742858738","https://openalex.org/W2380516352","https://openalex.org/W2491009754","https://openalex.org/W4386026724","https://openalex.org/W2263628162","https://openalex.org/W4385439673","https://openalex.org/W2890211018"],"abstract_inverted_index":{"A":[0],"resource":[1],"effective":[2],"extension":[3],"to":[4,21,64,80],"the":[5,19,29,40,43],"class":[6],"of":[7,66],"distributed":[8,53,82],"real-time":[9],"diffusion":[10,68],"Kalman":[11,54,83],"filters":[12],"is":[13,56,62],"proposed.":[14],"The":[15,51],"proposed":[16,52],"scheme":[17],"removes":[18],"need":[20],"share":[22],"measurement":[23],"variables":[24],"explicitly,":[25],"by":[26],"sharing":[27],"only":[28],"state":[30,33],"estimates":[31],"and":[32,47,59,75],"error":[34],"covariance":[35,49],"matrices":[36],"which":[37],"implicitly":[38],"contain":[39],"information":[41],"about":[42],"measurements,":[44],"observations":[45],"matrices,":[46],"noise":[48],"matrices.":[50],"filter":[55],"quiet":[57],"general,":[58],"its":[60],"performance":[61],"comparable":[63],"that":[65],"existing":[67],"based":[69],"schemes,":[70],"while":[71],"having":[72],"lower":[73],"communication":[74],"computational":[76],"requirements":[77],"per-iteration":[78],"compared":[79],"current":[81],"filtering":[84],"algorithms.":[85]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}