{"id":"https://openalex.org/W4389473984","doi":"https://doi.org/10.1109/jsen.2023.3339138","title":"An Adaptive Variational Outlier-Robust Filter for Multisensor Distributed Fusion","display_name":"An Adaptive Variational Outlier-Robust Filter for Multisensor Distributed Fusion","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4389473984","doi":"https://doi.org/10.1109/jsen.2023.3339138"},"language":"en","primary_location":{"id":"doi:10.1109/jsen.2023.3339138","doi":"https://doi.org/10.1109/jsen.2023.3339138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsen.2023.3339138","pdf_url":null,"source":{"id":"https://openalex.org/S189694085","display_name":"IEEE Sensors Journal","issn_l":"1530-437X","issn":["1530-437X","1558-1748","2379-9153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-2","ki-jl-2","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310321027","host_organization_name":"IEEE Sensors Council","host_organization_lineage":["https://openalex.org/P4310321027","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Sensors Council","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Sensors Journal","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5010611037","display_name":"Yunsheng Fan","orcid":"https://orcid.org/0000-0001-7828-4902","observed_orcids":["https://orcid.org/0000-0001-7828-4902"]},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunsheng Fan","raw_affiliation_strings":["College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-7828-4902","affiliations":[{"raw_affiliation_string":"College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026460239","display_name":"Shuanghu Qiao","orcid":"https://orcid.org/0000-0001-6433-717X","observed_orcids":["https://orcid.org/0000-0001-6433-717X"]},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuanghu Qiao","raw_affiliation_strings":["College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-6433-717X","affiliations":[{"raw_affiliation_string":"College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389615","display_name":"Guofeng Wang","orcid":"https://orcid.org/0000-0001-5751-6364","observed_orcids":["https://orcid.org/0000-0001-5751-6364"]},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guofeng Wang","raw_affiliation_strings":["College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-5751-6364","affiliations":[{"raw_affiliation_string":"College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087284551","display_name":"Haoyan Zhang","orcid":"https://orcid.org/0000-0003-3067-0710","observed_orcids":["https://orcid.org/0000-0003-3067-0710","https://orcid.org/0009-0005-1190-6347"]},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyan Zhang","raw_affiliation_strings":["College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":0.8315,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.71832336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"24","issue":"4","first_page":"4618","last_page":"4627"},"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":0.9965999722480774,"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":0.9965999722480774,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.003100000089034438,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/sensor-fusion","display_name":"sensor fusion","score":0.8539999723434448},{"id":"https://openalex.org/keywords/distributed-fusion","display_name":"distributed data fusion","score":0.9240000247955322},{"id":"https://openalex.org/keywords/outlier-removal","display_name":"outlier removal","score":0.6190000176429749},{"id":"https://openalex.org/keywords/adaptive-kalman-filter","display_name":"adaptive Kalman filter","score":0.8560000061988831},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"covariance intersection","score":0.734000027179718},{"id":"https://openalex.org/keywords/unknown-noise-covariance","display_name":"unknown noise covariance","score":0.7680000066757202},{"id":"https://openalex.org/keywords/student-s-t-distribution","display_name":"t-distribution","score":0.9810000061988831},{"id":"https://openalex.org/keywords/adaptive-feedback","display_name":"adaptive feedback","score":0.39100000262260437}],"concepts":[{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.796707034111023},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7591269016265869},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6223835945129395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5767883062362671},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5748803019523621},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5617583990097046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5569368600845337},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5513797998428345},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5277581810951233},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.509114682674408},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4561525881290436},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.43189817667007446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42470067739486694},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.41669976711273193},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.3996899127960205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3483792543411255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29791897535324097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24778792262077332},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.18790072202682495},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07721039652824402},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.053698837757110596},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsen.2023.3339138","doi":"https://doi.org/10.1109/jsen.2023.3339138","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsen.2023.3339138","pdf_url":null,"source":{"id":"https://openalex.org/S189694085","display_name":"IEEE Sensors Journal","issn_l":"1530-437X","issn":["1530-437X","1558-1748","2379-9153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-2","ki-jl-2","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310321027","host_organization_name":"IEEE Sensors Council","host_organization_lineage":["https://openalex.org/P4310321027","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Sensors Council","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Sensors Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G421847104","display_name":null,"funder_award_id":"2022YFB- 4301401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7941787539","display_name":null,"funder_award_id":"2022M710569","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G935853612","display_name":null,"funder_award_id":"61976033)","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1876928311","https://openalex.org/W1976878621","https://openalex.org/W2000721204","https://openalex.org/W2022506481","https://openalex.org/W2024522552","https://openalex.org/W2026478216","https://openalex.org/W2036881328","https://openalex.org/W2050114157","https://openalex.org/W2088735810","https://openalex.org/W2132678196","https://openalex.org/W2483473309","https://openalex.org/W2490662969","https://openalex.org/W2575097171","https://openalex.org/W2749496335","https://openalex.org/W2889167951","https://openalex.org/W2905204733","https://openalex.org/W2905685415","https://openalex.org/W2944846513","https://openalex.org/W2972649301","https://openalex.org/W2973942754","https://openalex.org/W3027939032","https://openalex.org/W3028365456","https://openalex.org/W3030830334","https://openalex.org/W3044262859","https://openalex.org/W3081067105","https://openalex.org/W3084797474","https://openalex.org/W3091831329","https://openalex.org/W3109686003","https://openalex.org/W3112682751","https://openalex.org/W3128732602","https://openalex.org/W3133243397","https://openalex.org/W3135867532","https://openalex.org/W3185263707","https://openalex.org/W3194993662","https://openalex.org/W3197302491","https://openalex.org/W3201487808","https://openalex.org/W3214820097","https://openalex.org/W4200459547","https://openalex.org/W4221003270","https://openalex.org/W4226141446","https://openalex.org/W4283077804","https://openalex.org/W4360596859"],"related_works":["https://openalex.org/W4386886919","https://openalex.org/W4293801371","https://openalex.org/W4408078547","https://openalex.org/W2379606589","https://openalex.org/W2006713940","https://openalex.org/W2381606995","https://openalex.org/W4396910870","https://openalex.org/W1512276172","https://openalex.org/W4312057568","https://openalex.org/W2139619263"],"abstract_inverted_index":{"The":[0,56,90,122],"fusion":[1,5,28,109,118,128,135],"accuracy":[2],"of":[3,80,88],"distributed":[4],"algorithms":[6],"may":[7],"degrade":[8],"in":[9],"multisensor":[10,116],"measurements":[11],"with":[12,113,119],"unknown":[13,46],"noise":[14,47],"and":[15,49,104,134],"outliers.":[16,89],"To":[17,44],"tackle":[18],"the":[19,32,67,73,78,81,86,100,126],"problem,":[20],"an":[21,52,107],"improved":[22,127],"adaptive":[23,38,63,91],"feedback":[24],"covariance":[25,48],"intersection":[26],"(IAFCI)":[27],"algorithm":[29,57,97,110,129],"based":[30],"on":[31],"modified":[33],"slide":[34],"window":[35],"variational":[36,62],"outlier-robust":[37],"Kalman":[39],"filter":[40,64],"(MSWVRAKF)":[41],"is":[42,54,93,111],"proposed.":[43,55],"estimate":[45],"eliminate":[50,85],"outliers,":[51],"MSWVRAKF":[53],"devises":[58],"a":[59],"simplified":[60],"slide-window":[61],"according":[65],"to":[66,84,98,115],"Student\u2019s":[68,74],"t":[69,75],"distribution,":[70],"which":[71],"treats":[72],"distribution":[76,83],"as":[77],"approximation":[79],"posterior":[82],"effect":[87],"factor":[92],"introduced":[94],"into":[95],"this":[96],"realize":[99],"tradeoff":[101],"between":[102],"measurement":[103],"prediction.":[105],"Moreover,":[106],"IAFCI":[108],"developed":[112],"respect":[114],"information":[117],"uncertain":[120],"noise.":[121],"simulations":[123],"verify":[124],"that":[125],"outperforms":[130],"other":[131],"existing":[132],"filtering":[133],"algorithms.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2023-12-09T00:00:00"}
