{"id":"https://openalex.org/W2965663797","doi":"https://doi.org/10.1109/wocc.2019.8770525","title":"An Improved Kalman Filter for TOA Localization using Maximum Correntropy Criterion","display_name":"An Improved Kalman Filter for TOA Localization using Maximum Correntropy Criterion","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2965663797","doi":"https://doi.org/10.1109/wocc.2019.8770525","mag":"2965663797"},"language":"en","primary_location":{"id":"doi:10.1109/wocc.2019.8770525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2019.8770525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 28th Wireless and Optical Communications Conference (WOCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100747624","display_name":"Yue Qi","orcid":"https://orcid.org/0000-0001-5331-1193"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Qi","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086170747","display_name":"Mengmeng Ji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mengmeng Ji","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066602150","display_name":"Cheng Xu","orcid":"https://orcid.org/0000-0003-1624-5494"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Xu","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088370265","display_name":"Jiawang Wan","orcid":"https://orcid.org/0000-0001-7688-7347"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiawang Wan","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045777582","display_name":"Jie He","orcid":"https://orcid.org/0000-0003-2134-0998"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie He","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9914000034332275,"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/ranging","display_name":"Ranging","score":0.861221194267273},{"id":"https://openalex.org/keywords/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.8204496502876282},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7894223928451538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7509924173355103},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.6420106291770935},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5639730095863342},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5428881049156189},{"id":"https://openalex.org/keywords/multipath-mitigation","display_name":"Multipath mitigation","score":0.540855884552002},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.48731979727745056},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4442979693412781},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4349293112754822},{"id":"https://openalex.org/keywords/time-of-arrival","display_name":"Time of arrival","score":0.41042694449424744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3130730390548706},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.30842453241348267},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19402560591697693},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18459364771842957},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.07168740034103394}],"concepts":[{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.861221194267273},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.8204496502876282},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7894223928451538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7509924173355103},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.6420106291770935},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5639730095863342},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5428881049156189},{"id":"https://openalex.org/C2776015439","wikidata":"https://www.wikidata.org/wiki/Q25313558","display_name":"Multipath mitigation","level":4,"score":0.540855884552002},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.48731979727745056},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4442979693412781},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4349293112754822},{"id":"https://openalex.org/C163150518","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Time of arrival","level":3,"score":0.41042694449424744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3130730390548706},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.30842453241348267},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19402560591697693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18459364771842957},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.07168740034103394},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wocc.2019.8770525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wocc.2019.8770525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 28th Wireless and Optical Communications Conference (WOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W95577512","https://openalex.org/W1868992980","https://openalex.org/W1989577653","https://openalex.org/W2002859899","https://openalex.org/W2048597245","https://openalex.org/W2072320508","https://openalex.org/W2075928722","https://openalex.org/W2100989187","https://openalex.org/W2110423696","https://openalex.org/W2124216931","https://openalex.org/W2127303160","https://openalex.org/W2139813482","https://openalex.org/W2146775457","https://openalex.org/W2312361439","https://openalex.org/W2343911385","https://openalex.org/W2467878906","https://openalex.org/W2511507617","https://openalex.org/W2767087800","https://openalex.org/W2769149387","https://openalex.org/W2803263953","https://openalex.org/W2963134661","https://openalex.org/W4230624888","https://openalex.org/W6678751841"],"related_works":["https://openalex.org/W2000433025","https://openalex.org/W2215607475","https://openalex.org/W2087203524","https://openalex.org/W3102042721","https://openalex.org/W4232302824","https://openalex.org/W2055784363","https://openalex.org/W2544911600","https://openalex.org/W2315948650","https://openalex.org/W1999361680","https://openalex.org/W2128820455"],"abstract_inverted_index":{"Kalman":[0,73],"filter":[1],"(KF)":[2],"has":[3],"been":[4],"widely":[5],"used":[6],"in":[7,87],"data":[8],"filtering":[9],"and":[10,40,93],"smoothing":[11],"applications.":[12],"However,":[13],"it":[14],"is":[15],"generally":[16],"limited":[17],"by":[18,38],"the":[19,50,66,77,88],"requirement":[20],"of":[21,60,91],"white-Gaussian":[22],"noise.":[23],"In":[24,52],"practical":[25],"applications,":[26],"such":[27],"as":[28],"indoor":[29],"localization,":[30],"TOA":[31,85],"distance":[32],"ranging":[33,67,86],"results":[34],"are":[35],"mostly":[36],"affected":[37],"multipath":[39,92],"non-line-of-sight":[41],"(NLOS)":[42],"factors,":[43],"which":[44],"introduces":[45],"colored":[46],"Gaussian":[47],"noise":[48],"into":[49],"system.":[51],"this":[53],"study,":[54],"we":[55],"intend":[56],"to":[57,64,82],"take":[58],"advantage":[59],"maximum":[61],"correntropy":[62],"criterion":[63],"enhance":[65],"performance.":[68],"We":[69],"proposed":[70],"a":[71],"Constrained":[72],"Filter":[74],"based":[75],"on":[76],"Maximum":[78],"Correntropy":[79],"Criterion":[80],"(MCC-CKF)":[81],"realize":[83],"high-accuracy":[84],"extreme":[89],"environments":[90],"NLOS.":[94]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
