{"id":"https://openalex.org/W4382677684","doi":"https://doi.org/10.1109/tvt.2023.3290959","title":"Cooperative Localization and Target Tracking in Mobile Sensor Networks With Uncertainties in Measurement Models","display_name":"Cooperative Localization and Target Tracking in Mobile Sensor Networks With Uncertainties in Measurement Models","publication_year":2023,"publication_date":"2023-06-30","ids":{"openalex":"https://openalex.org/W4382677684","doi":"https://doi.org/10.1109/tvt.2023.3290959"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2023.3290959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3290959","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Vehicular Technology","raw_type":"journal-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/A5028582577","display_name":"Yuan-Wei Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan-Wei Lv","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031737874","display_name":"Guang\u2010Hong Yang","orcid":"https://orcid.org/0000-0002-8911-0112"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN","SA"],"is_corresponding":false,"raw_author_name":"Guang-Hong Yang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah, Saudi Arabia","Key Laboratory of Integrated Automation of Process Industry (Ministry of Education), Northeastern University, Shenyang, Liaoning, China","College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]},{"raw_affiliation_string":"Key Laboratory of Integrated Automation of Process Industry (Ministry of Education), Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044172546","display_name":"Saud Wasly","orcid":"https://orcid.org/0000-0002-3827-4096"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Saud Wasly","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Center of Excellence in Intelligent Engineering Systems, King Abdulaziz University, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Center of Excellence in Intelligent Engineering Systems, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028582577"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":1.0461,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81025691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"72","issue":"12","first_page":"15521","last_page":"15534"},"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":0.9990000128746033,"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":0.9976000189781189,"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/multiplicative-function","display_name":"Multiplicative function","score":0.6409943103790283},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6252045631408691},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.6130114793777466},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5389874577522278},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5384350419044495},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.5376978516578674},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5185235738754272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5126225352287292},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5094693303108215},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5004589557647705},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.49426770210266113},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48288583755493164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4559791684150696},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.44405147433280945},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.430231511592865},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4289936423301697},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.41508522629737854},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.414113312959671},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38188186287879944},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3153689503669739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23974665999412537},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21326914429664612},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.1890822947025299},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18250617384910583},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.1558840274810791},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.13671913743019104},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.12414142489433289}],"concepts":[{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.6409943103790283},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6252045631408691},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.6130114793777466},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5389874577522278},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5384350419044495},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.5376978516578674},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5185235738754272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5126225352287292},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5094693303108215},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5004589557647705},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.49426770210266113},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48288583755493164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4559791684150696},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.44405147433280945},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.430231511592865},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4289936423301697},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.41508522629737854},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.414113312959671},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38188186287879944},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3153689503669739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23974665999412537},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21326914429664612},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.1890822947025299},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18250617384910583},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.1558840274810791},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.13671913743019104},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.12414142489433289},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2023.3290959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3290959","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5053323464","display_name":null,"funder_award_id":"U1908213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8086002158","display_name":null,"funder_award_id":"61621004","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W138573038","https://openalex.org/W2016448024","https://openalex.org/W2024522552","https://openalex.org/W2040398233","https://openalex.org/W2054091988","https://openalex.org/W2059373563","https://openalex.org/W2076367212","https://openalex.org/W2094385794","https://openalex.org/W2095376999","https://openalex.org/W2115979064","https://openalex.org/W2120007881","https://openalex.org/W2133300248","https://openalex.org/W2135261995","https://openalex.org/W2245447372","https://openalex.org/W2327669095","https://openalex.org/W2490662969","https://openalex.org/W2496015086","https://openalex.org/W2615536673","https://openalex.org/W2737188128","https://openalex.org/W2741858421","https://openalex.org/W2765721703","https://openalex.org/W2789562737","https://openalex.org/W2789715205","https://openalex.org/W2795834183","https://openalex.org/W2800330536","https://openalex.org/W2883595668","https://openalex.org/W2913190903","https://openalex.org/W2963920040","https://openalex.org/W2967129110","https://openalex.org/W2971685521","https://openalex.org/W3014106663","https://openalex.org/W3086203063","https://openalex.org/W3098800204","https://openalex.org/W3099728999","https://openalex.org/W3119253688","https://openalex.org/W3122844585","https://openalex.org/W3128732602","https://openalex.org/W3130806746","https://openalex.org/W3136926086","https://openalex.org/W3162506489","https://openalex.org/W3165869562","https://openalex.org/W3167251840","https://openalex.org/W3197302491","https://openalex.org/W4207069096","https://openalex.org/W4226445087","https://openalex.org/W4232464081","https://openalex.org/W4297073035","https://openalex.org/W6677308353"],"related_works":["https://openalex.org/W3022718941","https://openalex.org/W4287812451","https://openalex.org/W1996414039","https://openalex.org/W2506602630","https://openalex.org/W3097284316","https://openalex.org/W2949211747","https://openalex.org/W1652574860","https://openalex.org/W3117890846","https://openalex.org/W2149271413","https://openalex.org/W2110789471"],"abstract_inverted_index":{"This":[0],"article":[1],"studies":[2],"the":[3,16,38,43,52,57,69,74,77,96,103,112,137,143,148,156,159,163,174],"problem":[4],"of":[5,18,28,42,130,147,155,158,173],"cooperative":[6],"localization":[7],"and":[8,22,40,60,89,107,165],"target":[9],"tracking":[10],"for":[11],"mobile":[12],"sensor":[13],"networks":[14],"in":[15],"presence":[17],"both":[19],"Gaussian":[20],"additive":[21],"multiplicative":[23,44,149],"measurement":[24,32],"noises.":[25],"A":[26],"group":[27],"more":[29],"complex":[30],"relative":[31,105],"models":[33],"involving":[34],"uncertainties,":[35],"that":[36,81],"is,":[37],"means":[39,59,164],"variances":[41,166],"noises":[45],"being":[46],"unknown,":[47],"are":[48],"considered.":[49],"By":[50],"introducing":[51],"Normal-inverse-Gamma":[53],"distribution":[54],"to":[55,167],"model":[56],"unknown":[58,97],"variances,":[61],"a":[62,135],"distributed":[63,75],"algorithm":[64,79,139,176],"is":[65,117,140,177],"designed":[66],"based":[67],"on":[68,125,142],"variational":[70],"Bayesian":[71],"technique.":[72],"Within":[73],"framework,":[76],"proposed":[78,138,175],"ensures":[80],"each":[82,131],"robot":[83],"can":[84],"jointly":[85],"infer":[86],"its":[87],"state":[88],"all":[90,123],"targets'":[91],"states,":[92],"as":[93,95],"well":[94],"noise":[98],"statistics,":[99],"by":[100,179],"using":[101],"only":[102],"local":[104],"measurements":[106],"intermittent":[108],"absolute":[109],"measurements.":[110],"Moreover,":[111],"covariance":[113],"intersection":[114],"fusion":[115],"strategy":[116],"employed,":[118],"which":[119,151],"guarantees":[120],"consensus":[121],"among":[122],"robots":[124],"their":[126],"inferred":[127],"posterior":[128],"distributions":[129],"target's":[132],"state.":[133],"As":[134],"result,":[136],"independent":[141],"true":[144],"statistical":[145],"characteristics":[146],"noises,":[150],"thereby":[152],"gets":[153],"rid":[154],"limitation":[157],"existing":[160],"results":[161],"requiring":[162],"be":[168],"precisely":[169],"known.":[170],"The":[171],"effectiveness":[172],"validated":[178],"simulation":[180],"results.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
