{"id":"https://openalex.org/W4414539118","doi":"https://doi.org/10.1109/icc52391.2025.11161750","title":"Optimal Placement of a Moving Sensor for Passive Localization in a Real NLoS Environment","display_name":"Optimal Placement of a Moving Sensor for Passive Localization in a Real NLoS Environment","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414539118","doi":"https://doi.org/10.1109/icc52391.2025.11161750"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5110192242","display_name":"Hong Niu","orcid":"https://orcid.org/0009-0003-4002-6555"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hong Niu","raw_affiliation_strings":["The School of Electrical and Electronics Engineering, Nanyang Technological University,Singapore,637553"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Electrical and Electronics Engineering, Nanyang Technological University,Singapore,637553","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101462298","display_name":"Tuo Wu","orcid":"https://orcid.org/0000-0002-5464-3357"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tuo Wu","raw_affiliation_strings":["The School of Electrical and Electronics Engineering, Nanyang Technological University,Singapore,637553"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Electrical and Electronics Engineering, Nanyang Technological University,Singapore,637553","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046857721","display_name":"Saihua Xu","orcid":"https://orcid.org/0000-0002-2035-8224"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Saihua Xu","raw_affiliation_strings":["Nanyang Technological University,Temasek Laboratories,Singapore,637553"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,Temasek Laboratories,Singapore,637553","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058356436","display_name":"Sirajudeen Gulam Razul","orcid":"https://orcid.org/0000-0002-9031-6855"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sirajudeen Gulam Razul","raw_affiliation_strings":["Nanyang Technological University,Temasek Laboratories,Singapore,637553"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,Temasek Laboratories,Singapore,637553","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060020877","display_name":"Chau Yuen","orcid":"https://orcid.org/0000-0002-9307-2120"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chau Yuen","raw_affiliation_strings":["The School of Electrical and Electronics Engineering, Nanyang Technological University,Singapore,637553"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Electrical and Electronics Engineering, Nanyang Technological University,Singapore,637553","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22231421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6711","last_page":"6715"},"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":0.9822999835014343,"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":0.9822999835014343,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9793000221252441,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9603999853134155,"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/non-line-of-sight-propagation","display_name":"Non-line-of-sight propagation","score":0.8327999711036682},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5254999995231628},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4269999861717224},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.3785000145435333},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.37720000743865967},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.36160001158714294},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.3172999918460846}],"concepts":[{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.8327999711036682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66839998960495},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5254999995231628},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5192000269889832},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4269999861717224},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32330000400543213},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C2986162411","wikidata":"https://www.wikidata.org/wiki/Q702492","display_name":"Urban environment","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2809999883174896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2808000147342682},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27630001306533813},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.2741999924182892},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.265500009059906},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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":23,"referenced_works":["https://openalex.org/W2075403247","https://openalex.org/W2120350100","https://openalex.org/W2124216931","https://openalex.org/W2125777976","https://openalex.org/W2150470808","https://openalex.org/W2202630408","https://openalex.org/W2312462733","https://openalex.org/W2335083313","https://openalex.org/W2596404374","https://openalex.org/W2745203826","https://openalex.org/W2776024871","https://openalex.org/W2884034421","https://openalex.org/W2901026473","https://openalex.org/W2920458626","https://openalex.org/W2947814424","https://openalex.org/W3088007697","https://openalex.org/W3106508420","https://openalex.org/W3153917766","https://openalex.org/W4286377406","https://openalex.org/W4313004422","https://openalex.org/W4382998646","https://openalex.org/W4392904689","https://openalex.org/W4403674584"],"related_works":[],"abstract_inverted_index":{"The":[0],"site-specific":[1],"non-line-of-sight":[2],"(NLoS)":[3],"conditions":[4],"and":[5,46,72,118],"unpredictable":[6],"transmission":[7],"signals":[8],"in":[9,115],"urban":[10],"areas":[11],"complicate":[12],"localization":[13,57,83,112,128],"efforts.":[14],"Radio-frequency":[15],"fingerprinting":[16],"(RFF)":[17],"addresses":[18],"this":[19,50],"challenge":[20],"by":[21,60,94],"building":[22],"a":[23,91,103],"database":[24],"of":[25,90,122],"signal":[26],"characteristics":[27],"at":[28],"various":[29],"locations.":[30],"However,":[31],"transition":[32],"from":[33],"indoor":[34],"to":[35,41],"outdoor":[36],"environments":[37],"is":[38,113],"difficult":[39],"due":[40],"the":[42,87,96,119,123],"vast":[43],"physical":[44],"area":[45],"inaccessible":[47],"sites.":[48],"In":[49],"paper,":[51],"we":[52,85],"propose":[53],"an":[54],"RFF-based":[55],"passive":[56,111],"approach":[58],"enhanced":[59],"ray-tracing":[61],"simulation.":[62],"This":[63],"simulation":[64],"utilizes":[65],"real":[66],"geographic":[67],"data,":[68],"including":[69],"all":[70],"buildings":[71],"terrains,":[73],"without":[74],"making":[75],"assumptions":[76],"about":[77],"NLoS":[78],"error":[79,100],"statistics.":[80],"To":[81],"improve":[82],"accuracy,":[84],"investigate":[86],"optimal":[88,120],"placement":[89,121],"moving":[92,124],"sensor":[93,125],"minimizing":[95],"average":[97],"mean":[98],"squared":[99],"(MSE)":[101],"within":[102],"confidence":[104],"interval.":[105],"Simulation":[106],"results":[107],"indicate":[108],"that":[109],"RFF-assisted":[110],"effective":[114],"real-world":[116],"scenarios,":[117],"significantly":[126],"enhances":[127],"accuracy.":[129]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
