{"id":"https://openalex.org/W4328090526","doi":"https://doi.org/10.3233/jifs-230178","title":"An improved filtering algorithm for indoor localization based on DE-PSO-BPNN","display_name":"An improved filtering algorithm for indoor localization based on DE-PSO-BPNN","publication_year":2023,"publication_date":"2023-03-21","ids":{"openalex":"https://openalex.org/W4328090526","doi":"https://doi.org/10.3233/jifs-230178"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-230178","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230178","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5081378727","display_name":"Encheng Wang","orcid":"https://orcid.org/0000-0002-2523-4298"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Encheng Wang","raw_affiliation_strings":["School of Information Engineering, North China University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735899","display_name":"Xiufeng Liu","orcid":"https://orcid.org/0000-0001-5133-6688"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiufeng Liu","raw_affiliation_strings":["School of Information Engineering, North China University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034306641","display_name":"Jiyin Wan","orcid":"https://orcid.org/0000-0003-2996-4690"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyin Wan","raw_affiliation_strings":["School of Information Engineering, North China University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100735899"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.2492,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50338582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"44","issue":"6","first_page":"9513","last_page":"9525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965999722480774,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7236073017120361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6986656785011292},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.6523800492286682},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5766139030456543},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5159633755683899},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5150873064994812},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5114173293113708},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5001943111419678},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4971173107624054},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.44231724739074707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3912685215473175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33824339509010315},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.1264933943748474}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7236073017120361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6986656785011292},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.6523800492286682},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5766139030456543},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5159633755683899},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5150873064994812},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5114173293113708},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5001943111419678},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4971173107624054},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.44231724739074707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3912685215473175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33824339509010315},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.1264933943748474},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"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:10.3233/jifs-230178","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230178","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2906194850","https://openalex.org/W2942032779","https://openalex.org/W2994617216","https://openalex.org/W2996027253","https://openalex.org/W3011320190","https://openalex.org/W3045926382","https://openalex.org/W3047788099","https://openalex.org/W3049579140","https://openalex.org/W3081618310","https://openalex.org/W3102027952","https://openalex.org/W3153842403","https://openalex.org/W3155851712","https://openalex.org/W3172694904","https://openalex.org/W3180888705","https://openalex.org/W3205959825","https://openalex.org/W3209175246","https://openalex.org/W4207073963","https://openalex.org/W4226389760","https://openalex.org/W4285165099","https://openalex.org/W4285199084","https://openalex.org/W6771746417","https://openalex.org/W6782193729"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W2364999035","https://openalex.org/W4226497289","https://openalex.org/W4386078164","https://openalex.org/W2369356834","https://openalex.org/W2966681114","https://openalex.org/W2553918434","https://openalex.org/W2891797536","https://openalex.org/W2003904901","https://openalex.org/W2767141225"],"abstract_inverted_index":{"Among":[0],"the":[1,5,16,33,50,72,83,87,95,111,122,132,137,142,151,158,168,173,178,192,213,224,238,245,253,261,269,279,288,301,310],"indoor":[2,46],"localization":[3,47,52,62,162,169,247,255,263,270,281,289,295,303],"algorithms,":[4],"algorithm":[6,34,48,69,105,182,188,199,248,264,271,290,296],"based":[7,109,249,272,291,297],"on":[8,94,110,250,273,292,298],"traditional":[9,227,311],"Back":[10],"Propagation":[11],"Neural":[12],"Network":[13],"(BPNN)":[14],"has":[15,90],"problems":[17],"of":[18,86,97,115,217,226],"slow":[19],"convergence":[20],"and":[21,61,140,183,191,205,215,221],"easy":[22],"to":[23,31,70,157,166,232],"fall":[24,233],"into":[25,56,234],"local":[26,235],"optimum.":[27],"It":[28,79],"is":[29,54,80,107,165,200],"difficult":[30],"apply":[32],"in":[35,39,131,209,237],"noisy":[36],"environments.":[37],"Therefore,":[38],"this":[40,176],"paper,":[41,177],"we":[42],"propose":[43],"a":[44,91],"novel":[45],"where":[49],"whole":[51],"process":[53,71],"divided":[55],"two":[57],"parts:":[58],"data":[59],"preprocessing":[60,65],"output.":[63],"Data":[64],"means":[66],"using":[67,136,147],"filtering":[68],"Received":[73],"Signal":[74],"Strength":[75],"Indication":[76],"(RSSI)":[77],"sequence.":[78],"considered":[81],"that":[82,125,150,229,244],"initial":[84],"value":[85],"received":[88],"sequence":[89,133],"significant":[92],"impact":[93],"performance":[96],"Kalman":[98,103],"Filter":[99],"(KF).":[100],"An":[101],"improved":[102,275],"Filtering":[104],"(DBSCAN-KF)":[106],"proposed":[108],"Density-Based":[112],"Spatial":[113],"Clustering":[114],"Applications":[116],"with":[117,260,287,309],"Noise":[118],"(DBSCAN)":[119],"algorithm.":[120],"First,":[121],"RSSI":[123,143,152],"values":[124,153],"are":[126,134,145,189,207,230],"seriously":[127],"disturbed":[128],"by":[129,172,257,283,305],"noise":[130],"removed":[135],"DBSCAN":[138],"algorithm,":[139],"then":[141],"sequences":[144],"processed":[146],"KF":[148],"so":[149],"can":[154],"be":[155],"closer":[156],"theoretical":[159],"values.":[160],"The":[161,202,294],"output":[163],"part":[164],"reduce":[167],"error":[170],"caused":[171],"BPNN.":[174,312],"In":[175],"Differential":[179,193],"Evolution":[180,194],"(DE)":[181],"Particle":[184,195],"Swarm":[185,196],"Optimization":[186,197],"(PSO)":[187],"combined,":[190],"(DE-PSO)":[198],"proposed.":[201],"BPNN":[203,246,262,276],"weights":[204],"thresholds":[206],"optimized":[208],"parallel,":[210],"which":[211],"improves":[212,252,278,300],"speed":[214],"ability":[216],"global":[218],"optimization":[219,236],"search":[220],"further":[222],"avoids":[223],"shortcomings":[225],"BPNNs":[228],"prone":[231],"training":[239],"process.":[240],"Experimental":[241],"results":[242],"show":[243],"DBSCAN-KF":[251],"average":[254,280,302],"accuracy":[256,282,304],"0.26m":[258],"compared":[259,286,308],"without":[265],"filtering.":[266],"After":[267],"filtering,":[268],"DE-PSO":[274],"(DE-PSO-BP)":[277],"about":[284,306],"24%":[285],"DE-PSO-BP.":[293],"DE-PSO-BP":[299],"61%":[307]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
