{"id":"https://openalex.org/W4414199277","doi":"https://doi.org/10.1109/jsac.2025.3609770","title":"Bilinear Subspace Variational Bayesian Inference for Joint Scattering Environment Sensing and Data Recovery in ISAC Systems","display_name":"Bilinear Subspace Variational Bayesian Inference for Joint Scattering Environment Sensing and Data Recovery in ISAC Systems","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4414199277","doi":"https://doi.org/10.1109/jsac.2025.3609770"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.2025.3609770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2025.3609770","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","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/A5100340369","display_name":"An Liu","orcid":"https://orcid.org/0000-0002-3943-5234"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"An Liu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407922","display_name":"Wenkang Xu","orcid":"https://orcid.org/0000-0003-0097-5062"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenkang Xu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107748218","display_name":"Wei Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058252389","display_name":"Giuseppe Caire","orcid":"https://orcid.org/0000-0002-7749-1333"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Giuseppe Caire","raw_affiliation_strings":["Department of Telecommunication Systems, Technical University Berlin, Berlin, Germany","Department of Telecommunication Systems, Technical University of Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Telecommunication Systems, Technical University Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"Department of Telecommunication Systems, Technical University of Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100340369"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.3568,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.910452,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"44","issue":null,"first_page":"31","last_page":"47"},"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":0.989799976348877,"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":0.989799976348877,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9401000142097473,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9154999852180481,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.6571000218391418},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5859000086784363},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5157999992370605},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43290001153945923},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4262999892234802},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.4077000021934509},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.361299991607666},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.36000001430511475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7552000284194946},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.6571000218391418},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5859000086784363},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5157999992370605},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5052000284194946},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.414900004863739},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.36000001430511475},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.2791000008583069},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2660999894142151},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.2637999951839447},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsac.2025.3609770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.2025.3609770","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5858730876","display_name":null,"funder_award_id":"62571482","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6567675481","display_name":null,"funder_award_id":"2021YFA1003304","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332588","display_name":"Shanghai Key Laboratory of Intelligent Information Processing","ror":"https://ror.org/013q1eq08"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1510028821","https://openalex.org/W2000721204","https://openalex.org/W2078966899","https://openalex.org/W2101417447","https://openalex.org/W2120549790","https://openalex.org/W2123760925","https://openalex.org/W2127271355","https://openalex.org/W2131929267","https://openalex.org/W2137813581","https://openalex.org/W2530877707","https://openalex.org/W2605368703","https://openalex.org/W2995053006","https://openalex.org/W2999416770","https://openalex.org/W3006143078","https://openalex.org/W3006668132","https://openalex.org/W3047523230","https://openalex.org/W3093863039","https://openalex.org/W3129749423","https://openalex.org/W3129865612","https://openalex.org/W3130559101","https://openalex.org/W3155535021","https://openalex.org/W3194620979","https://openalex.org/W3200820186","https://openalex.org/W3213070675","https://openalex.org/W3215095157","https://openalex.org/W4213475400","https://openalex.org/W4221073076","https://openalex.org/W4243024460","https://openalex.org/W4313045429","https://openalex.org/W4386634572","https://openalex.org/W4406794024","https://openalex.org/W4411019576"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"a":[3,33,64,71,159,191],"joint":[4,23,43,59,121],"scattering":[5],"environment":[6],"sensing":[7,16],"and":[8,17,26,75,82,123,131,155,182],"data":[9],"recovery":[10,68],"problem":[11,60,69,103],"in":[12],"an":[13,88],"uplink":[14],"integrated":[15],"communication":[18],"(ISAC)":[19],"system.":[20],"To":[21],"facilitate":[22],"scatterers":[24],"localization":[25],"multi-user":[27],"(MU)":[28],"channel":[29,38,48,117],"estimation,":[30],"we":[31],"introduce":[32],"three-dimensional":[34],"(3D)":[35],"location-domain":[36,114],"sparse":[37,67,115],"model":[39],"to":[40,100,143,170,189,195],"capture":[41],"the":[42,46,58,102,106,112,113,120,124,127,133,146,153,177,197,202,205],"sparsity":[44],"of":[45,111,204],"MU":[47,116],"(i.e.,":[49],"different":[50],"user":[51,83],"channels":[52],"share":[53],"partially":[54],"overlapped":[55],"scatterers).":[56],"Then":[57],"is":[61,168],"formulated":[62],"as":[63,79],"bilinear":[65,93,162],"structured":[66],"with":[70,148],"dynamic":[72,128],"position":[73,84,129],"grid":[74,130],"imperfect":[76,134],"parameters":[77],"(such":[78],"time":[80],"offset":[81],"errors).":[85],"We":[86],"propose":[87],"expectation":[89],"maximization":[90],"based":[91],"turbo":[92],"subspace":[94,160,183],"variational":[95,163],"Bayesian":[96,109,164],"inference":[97,165],"(EM-Turbo-BiSVBI)":[98],"algorithm":[99],"solve":[101],"effectively,":[104],"where":[105],"E-step":[107],"performs":[108],"estimation":[110,193],"by":[118],"exploiting":[119],"sparsity,":[122],"M-step":[125],"refines":[126],"learns":[132],"factors":[135],"via":[136],"gradient":[137],"update.":[138],"Two":[139],"methods":[140,186],"are":[141,187],"introduced":[142],"greatly":[144],"reduce":[145,196],"complexity":[147],"almost":[149],"no":[150],"sacrifice":[151],"on":[152],"performance":[154],"convergence":[156],"speed:":[157],"1)":[158],"constrained":[161,184],"(VBI)":[166],"method":[167],"proposed":[169,206],"avoid":[171],"any":[172],"high-dimensional":[173],"matrix":[174],"inverse;":[175],"2)":[176],"multiple":[178],"signal":[179],"classification":[180],"(MUSIC)":[181],"VBI":[185],"combined":[188],"obtain":[190],"coarse":[192],"result":[194],"search":[198],"range.":[199],"Simulations":[200],"verify":[201],"advantages":[203],"scheme":[207],"over":[208],"baseline":[209],"schemes.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
