{"id":"https://openalex.org/W4392084451","doi":"https://doi.org/10.1145/3640912.3640923","title":"Indoor location algorithm based on improved Kalman filter","display_name":"Indoor location algorithm based on improved Kalman filter","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4392084451","doi":"https://doi.org/10.1145/3640912.3640923"},"language":"en","primary_location":{"id":"doi:10.1145/3640912.3640923","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3640912.3640923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Communication Network and Machine Learning","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/A5102892468","display_name":"Yuhao Xu","orcid":"https://orcid.org/0009-0001-1378-9325"},"institutions":[{"id":"https://openalex.org/I4210158151","display_name":"Heilongjiang Electric Power Workers University","ror":"https://ror.org/05hxcq922","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158151"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Xu","raw_affiliation_strings":["State grid Heilongjiang Electric Power Co., LTD Jiamusi power supply company, China"],"raw_orcid":"https://orcid.org/0009-0001-1378-9325","affiliations":[{"raw_affiliation_string":"State grid Heilongjiang Electric Power Co., LTD Jiamusi power supply company, China","institution_ids":["https://openalex.org/I4210158151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102976055","display_name":"Xiaoyu Zhang","orcid":"https://orcid.org/0009-0003-5190-5248"},"institutions":[{"id":"https://openalex.org/I4210158151","display_name":"Heilongjiang Electric Power Workers University","ror":"https://ror.org/05hxcq922","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158151"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Zhang","raw_affiliation_strings":["State grid Heilongjiang Electric Power Co., LTD Jiamusi power supply company, China"],"raw_orcid":"https://orcid.org/0009-0003-5190-5248","affiliations":[{"raw_affiliation_string":"State grid Heilongjiang Electric Power Co., LTD Jiamusi power supply company, China","institution_ids":["https://openalex.org/I4210158151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101915407","display_name":"Yi Sun","orcid":"https://orcid.org/0009-0003-5635-0819"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Sun","raw_affiliation_strings":["School of Electrical and Electronic Engineering, North China Electric Power University, China"],"raw_orcid":"https://orcid.org/0009-0003-5635-0819","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034783298","display_name":"Kai Zhou","orcid":"https://orcid.org/0009-0002-0133-0960"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhou","raw_affiliation_strings":["School of Electrical and Electronic Engineering, North China Electric Power University, China"],"raw_orcid":"https://orcid.org/0009-0002-0133-0960","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"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":0.9997000098228455,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9860000014305115,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9753999710083008,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8161059617996216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6742957830429077},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.5902250409126282},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5314034223556519},{"id":"https://openalex.org/keywords/moving-horizon-estimation","display_name":"Moving horizon estimation","score":0.4620899558067322},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3967773914337158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36091744899749756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34902381896972656}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8161059617996216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6742957830429077},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.5902250409126282},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5314034223556519},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.4620899558067322},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3967773914337158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36091744899749756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34902381896972656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3640912.3640923","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3640912.3640923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Communication Network and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2801117313","https://openalex.org/W2992647966","https://openalex.org/W3000004788","https://openalex.org/W3001211194","https://openalex.org/W3002034439","https://openalex.org/W3008124346","https://openalex.org/W3013435333","https://openalex.org/W3047604835","https://openalex.org/W3107376096","https://openalex.org/W3112154958","https://openalex.org/W3151110855","https://openalex.org/W3162925031","https://openalex.org/W4206219710","https://openalex.org/W4210907511","https://openalex.org/W4312939894"],"related_works":["https://openalex.org/W1506303183","https://openalex.org/W2103062922","https://openalex.org/W1580685205","https://openalex.org/W2369564630","https://openalex.org/W2182059946","https://openalex.org/W2363340733","https://openalex.org/W2064665624","https://openalex.org/W2152504883","https://openalex.org/W4244361639","https://openalex.org/W4313056238"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,45,51,64,70,81,85,92,96,103,109,113],"problems":[3],"of":[4,11,17,44,84,98],"low":[5],"accuracy":[6],"and":[7,62,77,116],"poor":[8],"anti-noise":[9],"performance":[10],"UWB":[12,52],"sensor":[13],"in":[14,22,112],"time":[15],"difference":[16],"arrival":[18],"(TDOA)":[19],"positioning":[20,32,54],"mode":[21],"complex":[23,114],"indoor":[24,31],"environment,":[25],"an":[26],"improved":[27],"Kalman":[28],"(KF)":[29],"filtering":[30],"algorithm":[33,46,105,111],"(TSK)":[34],"based":[35,56],"on":[36,57],"Taylor":[37],"series":[38],"is":[39,47,106],"proposed.":[40],"The":[41],"main":[42],"idea":[43],"to":[48,87,91],"first":[49],"linearize":[50],"nonlinear":[53],"equation":[55],"TDOA":[58],"with":[59],"first-order":[60],"Taylor,":[61],"combine":[63],"error":[65],"compensation":[66],"function,":[67],"then":[68],"optimize":[69],"noise":[71,117],"reduction":[72],"through":[73],"linear":[74],"filter":[75],"KF,":[76],"finally":[78],"iteratively":[79],"calculate":[80],"position":[82],"coordinates":[83],"labels":[86],"be":[88],"measured":[89],"according":[90],"set":[93],"threshold.":[94],"Finally,":[95],"results":[97],"MATLAB":[99],"simulation":[100],"show":[101],"that":[102],"proposed":[104],"better":[107],"than":[108],"comparison":[110],"occlusion":[115],"environment.":[118]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
