{"id":"https://openalex.org/W7161007954","doi":"https://doi.org/10.48550/arxiv.2605.11037","title":"Annotation-Free Indoor Radio Mapping via Physics-Informed Trajectory Inference","display_name":"Annotation-Free Indoor Radio Mapping via Physics-Informed Trajectory Inference","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7161007954","doi":"https://doi.org/10.48550/arxiv.2605.11037"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.11037","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11037","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.11037","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036659144","display_name":"Zheng Xing","orcid":"https://orcid.org/0000-0002-9710-082X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing, Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101485789","display_name":"Mengru Wu","orcid":"https://orcid.org/0000-0002-4028-0284"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Mengru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136087357","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-9507-7988"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136027123","display_name":"Guanghui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Guanghui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136072219","display_name":"Jun Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047407285","display_name":"Weibing Zhao","orcid":"https://orcid.org/0000-0002-2819-990X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Weibing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136025577","display_name":"Xuhui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xuhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036242436","display_name":"Jinke Ren","orcid":"https://orcid.org/0000-0002-7409-6127"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Jinke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136009613","display_name":"Shuguang Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cui, Shuguang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9491999745368958,"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":0.9491999745368958,"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":0.019700000062584877,"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/T10655","display_name":"GNSS positioning and interference","score":0.0027000000700354576,"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/trajectory","display_name":"Trajectory","score":0.6205000281333923},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.5870000123977661},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.555400013923645},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5457000136375427},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.5382999777793884},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4361000061035156},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.42149999737739563},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3806000053882599},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3788999915122986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.722100019454956},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6205000281333923},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.5870000123977661},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.555400013923645},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5457000136375427},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.5382999777793884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4819999933242798},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4361000061035156},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4138000011444092},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3806000053882599},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.376800000667572},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3377000093460083},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31619998812675476},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.3147999942302704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30329999327659607},{"id":"https://openalex.org/C194226119","wikidata":"https://www.wikidata.org/wiki/Q161779","display_name":"Spatial reference system","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C174749922","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath interference","level":4,"score":0.29330000281333923},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.28619998693466187},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.11037","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11037","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.11037","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.11037","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.46155592799186707}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Constructing":[0],"indoor":[1,62],"radio":[2,63],"maps":[3],"traditionally":[4],"requires":[5],"extensive":[6],"site":[7],"surveys":[8],"with":[9],"precise":[10],"user-location":[11,94],"labels,":[12],"making":[13],"the":[14,105,114,161,188],"calibration":[15],"process":[16],"costly":[17],"and":[18,51,71,135,142,176,199,212],"time-consuming.":[19],"Existing":[20],"calibration-reduction":[21],"methods":[22],"either":[23],"depend":[24],"on":[25,93,180],"partial":[26],"location":[27],"annotations":[28],"or":[29,96],"exploit":[30],"inertial":[31],"measurement":[32],"units":[33],"(IMUs)":[34],"to":[35,103],"provide":[36],"relative":[37,201],"motion":[38],"cues;":[39],"however,":[40],"IMU-assisted":[41,213],"solutions":[42],"are":[43],"constrained":[44],"by":[45,112],"hardware":[46],"availability,":[47],"device-level":[48],"access":[49],"restrictions,":[50],"accumulated":[52],"sensor":[53],"drift.":[54],"In":[55],"this":[56,122,147],"paper,":[57],"we":[58,124],"study":[59],"a":[60,72,79,126,139,150,166,181,200],"location-label-free":[61],"mapping":[64],"problem":[65],"under":[66,143],"known":[67,73],"access-point":[68],"deployment":[69],"geometry":[70],"walkable":[74],"spatial":[75,107,116,156],"domain.":[76],"We":[77,158],"propose":[78],"physics-informed":[80],"trajectory":[81,174],"inference":[82,170],"framework":[83,190],"that":[84,187],"uses":[85],"only":[86],"Channel":[87],"State":[88],"Information":[89],"(CSI),":[90],"without":[91],"relying":[92],"labels":[95],"IMU":[97],"measurements.":[98],"The":[99],"key":[100],"idea":[101],"is":[102],"recover":[104],"latent":[106],"coordinates":[108],"of":[109,118,196,206],"CSI":[110,134,184],"measurements":[111],"exploiting":[113],"local":[115,140],"continuity":[117,163],"multipath":[119,145],"propagation.":[120],"To":[121],"end,":[123],"construct":[125],"Power-Angle-Delay":[127],"Profile":[128],"(PADP)":[129],"feature":[130],"distance":[131,148],"from":[132],"MIMO-OFDM":[133],"show":[136],"that,":[137],"within":[138],"neighborhood":[141],"quasi-static":[144],"conditions,":[146],"provides":[149],"physically":[151],"meaningful":[152],"proxy":[153],"for":[154,172],"small":[155],"displacements.":[157],"then":[159],"incorporate":[160],"PADP-based":[162],"constraint":[164],"into":[165],"spatially":[167],"regularized":[168],"Bayesian":[169],"model":[171],"joint":[173],"recovery":[175],"propagation-parameter":[177],"estimation.":[178],"Experiments":[179],"real-world":[182],"industrial":[183],"dataset":[185],"demonstrate":[186],"proposed":[189],"achieves":[191],"an":[192],"average":[193],"localization":[194],"error":[195,205],"0.88":[197],"m":[198],"beam":[202],"map":[203],"construction":[204],"6.68%,":[207],"improving":[208],"upon":[209],"representative":[210],"channel-embedding":[211],"baselines.":[214]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-14T00:00:00"}
