{"id":"https://openalex.org/W2168447144","doi":"https://doi.org/10.1109/sis.2009.4937855","title":"A novel ultrawide band locationing system using swarm enabled learning approaches","display_name":"A novel ultrawide band locationing system using swarm enabled learning approaches","publication_year":2009,"publication_date":"2009-03-01","ids":{"openalex":"https://openalex.org/W2168447144","doi":"https://doi.org/10.1109/sis.2009.4937855","mag":"2168447144"},"language":"en","primary_location":{"id":"doi:10.1109/sis.2009.4937855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sis.2009.4937855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Swarm Intelligence Symposium","raw_type":"proceedings-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/A5101676143","display_name":"Weihua Gao","orcid":"https://orcid.org/0009-0001-3016-9902"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Weihua Gao","raw_affiliation_strings":["Link 211, Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Link 211, Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067352490","display_name":"Kalyan Veeramachaneni","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyan Veeramachaneni","raw_affiliation_strings":["Link 211, Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Link 211, Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020729789","display_name":"Ganapathi Kamath","orcid":"https://orcid.org/0000-0002-7423-6820"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ganapathi Kamath","raw_affiliation_strings":["Link 211, Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Link 211, Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002344476","display_name":"Lisa Ann Osadciw","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lisa Osadciw","raw_affiliation_strings":["Link 211, Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Link 211, Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101676143"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":1.4954,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84457888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"136"},"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/T12024","display_name":"Ultra-Wideband Communications Technology","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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6775779724121094},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.6337862014770508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2840229868888855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6775779724121094},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.6337862014770508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2840229868888855}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sis.2009.4937855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sis.2009.4937855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Swarm Intelligence Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1498873563","https://openalex.org/W1499461584","https://openalex.org/W2012462772","https://openalex.org/W2084134149","https://openalex.org/W2097576376","https://openalex.org/W2115786899","https://openalex.org/W2123914993","https://openalex.org/W2130868533","https://openalex.org/W2133353795","https://openalex.org/W2143864831","https://openalex.org/W2152195021","https://openalex.org/W2160523592","https://openalex.org/W2161042721","https://openalex.org/W2161963928","https://openalex.org/W2167251937","https://openalex.org/W2171029749","https://openalex.org/W2171209378","https://openalex.org/W2269685472","https://openalex.org/W2402846924","https://openalex.org/W2544785911","https://openalex.org/W3017143921"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4288714711","https://openalex.org/W3200708550","https://openalex.org/W2736680465","https://openalex.org/W2771637876","https://openalex.org/W4294093918","https://openalex.org/W4240853094","https://openalex.org/W2810496283","https://openalex.org/W2170656329"],"abstract_inverted_index":{"In":[0],"this":[1,43,156],"paper,":[2],"an":[3,107,130],"adaptive":[4],"learning":[5],"algorithm":[6],"is":[7,27,71,121,153,182,188],"developed":[8],"using":[9,29,73,112,139],"particle":[10],"swarm":[11],"to":[12,47,94,167,192],"identify":[13,48],"and":[14,57,152],"mitigate":[15],"the":[16,30,49,76,83,90,95,104,137,140,149,173,180,202],"non-line":[17],"of":[18,144,179],"sight":[19],"(NLOS)":[20],"signals":[21],"in":[22,155],"ranging":[23],"measurements.":[24],"Training":[25],"data":[26,44,92],"generated":[28,146],"IEEE":[31],"802.15.4a":[32],"UWB":[33],"channel":[34],"model":[35],"for":[36,66,89,158,172,190],"different":[37],"conditions.":[38],"Multiple":[39],"metrics":[40,65],"derived":[41,72,111],"from":[42,195],"are":[45,62,199],"fused":[46],"NLOS":[50,108,127],"signals.":[51],"Specifically,":[52],"kurtosis,":[53],"mean":[54,59],"excess":[55],"delay":[56,61],"root":[58],"square":[60,205],"used":[63,189],"as":[64,184],"fusion.":[67],"The":[68,123,134],"fusion":[69,84,99],"strategy":[70],"PSO,":[74],"considering":[75],"correlation":[77],"between":[78],"multiple":[79],"classifiers.":[80],"We":[81],"compare":[82],"methodology":[85,100],"achieved":[86],"by":[87],"PSO":[88,135,145,187],"correlated":[91],"set":[93],"likelihood":[96],"ratio":[97,119],"based":[98],"assuming":[101],"independence.":[102],"Further,":[103],"paper":[105,157],"presents":[106],"mitigation":[109,118,163],"approach":[110,164],"PSO.":[113],"A":[114],"scalar":[115],"called":[116],"\u201cerror":[117],"(EMR)\u201d":[120],"defined.":[122],"EMR":[124,138,147],"transform":[125],"a":[126,170],"measurement":[128],"into":[129],"equivalent":[131],"LOS":[132],"measurement.":[133],"identifies":[136],"training":[141],"data.":[142],"Application":[143],"enhances":[148],"positioning":[150],"accuracy":[151],"demonstrated":[154],"indoor":[159],"wireless":[160],"channel.":[161],"This":[162],"enables":[165],"us":[166],"arrive":[168],"at":[169],"position":[171],"unknown":[174],"node":[175],"even":[176],"when":[177],"one":[178],"measurements":[181,194],"identified":[183],"NLOS.":[185],"Finally,":[186],"multilateration":[191],"combine":[193],"three":[196],"nodes.":[197],"Comparisons":[198],"done":[200],"with":[201],"linearized":[203],"least":[204],"method.":[206]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
