{"id":"https://openalex.org/W7128809634","doi":"https://doi.org/10.1109/tmc.2026.3664609","title":"A Tensorial Target Detection Framework for MIMO Wireless Sensing System","display_name":"A Tensorial Target Detection Framework for MIMO Wireless Sensing System","publication_year":2026,"publication_date":"2026-02-13","ids":{"openalex":"https://openalex.org/W7128809634","doi":"https://doi.org/10.1109/tmc.2026.3664609"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2026.3664609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2026.3664609","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/2031/7ce0927d-3e59-4a1b-86d2-4d6bd3919d31","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076644584","display_name":"Luoyan Zhu","orcid":"https://orcid.org/0000-0001-6325-1817"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luoyan Zhu","raw_affiliation_strings":["School of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-6325-1817","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yinsheng Liu","orcid":"https://orcid.org/0000-0003-3046-4888"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinsheng Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3046-4888","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Wang","orcid":"https://orcid.org/0000-0003-1172-1551"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["School of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-1172-1551","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345121","display_name":"Yangyang Wang","orcid":"https://orcid.org/0000-0002-0426-7023"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyang Wang","raw_affiliation_strings":["School of Information Science and Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-0426-7023","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013904006","display_name":"Guangyang Zhang","orcid":"https://orcid.org/0000-0001-6380-0468"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guangyang Zhang","raw_affiliation_strings":["State Grid Information & Telecommunication Company of SEPC, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-6380-0468","affiliations":[{"raw_affiliation_string":"State Grid Information & Telecommunication Company of SEPC, Taiyuan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016290340","display_name":"Yuguang Fang","orcid":"https://orcid.org/0000-0002-1079-3871"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuguang Fang","raw_affiliation_strings":["Hong Kong JC STEM Lab of Smart City and Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-1079-3871","affiliations":[{"raw_affiliation_string":"Hong Kong JC STEM Lab of Smart City and Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13389807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"7","first_page":"10471","last_page":"10488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.3416000008583069,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.3416000008583069,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.3375999927520752,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.10530000180006027,"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/detector","display_name":"Detector","score":0.6435999870300293},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6086000204086304},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5609999895095825},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5264000296592712},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5133000016212463},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.49869999289512634},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4832000136375427},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4327999949455261},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.41429999470710754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8158000111579895},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6435999870300293},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6086000204086304},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5609999895095825},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5264000296592712},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5133000016212463},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.49869999289512634},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4832000136375427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4781000018119812},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.41429999470710754},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3955000042915344},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.3919999897480011},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3765999972820282},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C19444555","wikidata":"https://www.wikidata.org/wiki/Q212750","display_name":"Flattening","level":2,"score":0.34470000863075256},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.33980000019073486},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.321399986743927},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31520000100135803},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3077999949455261},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.26829999685287476}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmc.2026.3664609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2026.3664609","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/7ce0927d-3e59-4a1b-86d2-4d6bd3919d31","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/7ce0927d-3e59-4a1b-86d2-4d6bd3919d31","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhu, L, Liu, Y, Wang, J, Wang, Y, Zhang, G & Fang, Y 2026, 'A Tensorial Target Detection Framework for MIMO Wireless Sensing System', IEEE Transactions on Mobile Computing, vol. 25, no. 7, pp. 10471 - 10488. https://doi.org/10.1109/TMC.2026.3664609","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/7ce0927d-3e59-4a1b-86d2-4d6bd3919d31","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/7ce0927d-3e59-4a1b-86d2-4d6bd3919d31","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhu, L, Liu, Y, Wang, J, Wang, Y, Zhang, G & Fang, Y 2026, 'A Tensorial Target Detection Framework for MIMO Wireless Sensing System', IEEE Transactions on Mobile Computing, vol. 25, no. 7, pp. 10471 - 10488. https://doi.org/10.1109/TMC.2026.3664609","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2530693809","display_name":null,"funder_award_id":"XLYC2402001","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"},{"id":"https://openalex.org/G2615594448","display_name":null,"funder_award_id":"62471080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2891254505","display_name":null,"funder_award_id":"2025-BS-0242","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G3154331942","display_name":null,"funder_award_id":"2022JJ11CG002","funder_id":"https://openalex.org/F4320336584","funder_display_name":"Dalian Science and Technology Innovation Fund"},{"id":"https://openalex.org/G5822102252","display_name":null,"funder_award_id":"62271098","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null},{"id":"https://openalex.org/F4320336584","display_name":"Dalian Science and Technology Innovation Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multiple-input":[0],"multiple-output":[1],"wireless":[2],"sensing":[3],"systems":[4],"achieve":[5],"high-resolution":[6],"detection":[7,51,59,146,151,190],"through":[8],"spatial":[9,141],"diversity.":[10],"However,":[11],"they":[12],"suffer":[13],"from":[14],"reliability":[15],"degradation":[16],"under":[17],"low":[18],"signal-to-noise":[19],"ratio":[20],"(SNR)":[21],"conditions.":[22],"Conventional":[23],"matrix-based":[24],"methods":[25],"may":[26],"discard":[27],"critical":[28],"target":[29,50],"information":[30],"embedded":[31],"in":[32,93,168,189],"inter-dimensional":[33,105],"signal":[34,95],"correlations":[35],"due":[36],"to":[37,90,144],"dimension-reduction":[38],"flattening":[39],"operations.":[40],"To":[41],"overcome":[42],"these":[43],"limitations,":[44],"this":[45],"paper":[46],"proposes":[47],"a":[48,68,186],"tensorial":[49,70,136],"(TTD)":[52],"framework":[53],"combining":[54],"noise":[55,71,92,106,156],"reduction":[56,72],"and":[57,83,114,181],"enhanced":[58],"specifically":[60],"designed":[61],"for":[62,121],"high-dimensional":[63],"processing.":[64],"Firstly,":[65],"we":[66,132],"propose":[67],"two-stage":[69],"(TNR)":[73],"method":[74,172],"based":[75,138],"on":[76,139],"the":[77,84,100,109,116,126,162,170,182],"minimum":[78],"mean":[79],"square":[80,87],"error":[81],"criterion":[82],"alternating":[85],"least":[86],"iteration":[88],"strategy":[89],"remove":[91],"high-order":[94],"space.":[96],"We":[97],"further":[98],"identify":[99],"sub-optimal":[101],"performance":[102],"caused":[103],"by":[104,153],"coupling":[107],"at":[108,125],"first":[110],"stage":[111,128],"of":[112,129],"TNR,":[113],"resolve":[115],"issue":[117],"via":[118],"rank-constrained":[119],"optimization":[120],"noise-target":[122],"subspace":[123],"separation":[124],"second":[127],"TNR.":[130],"Then,":[131],"develop":[133],"an":[134],"augmented":[135],"detector":[137,184],"cross-shaped":[140],"partitioning":[142],"(CSP)":[143],"enhance":[145],"performance,":[147],"which":[148],"jointly":[149],"optimizes":[150],"thresholds":[152],"adaptively":[154],"refining":[155],"estimation.":[157],"Finally,":[158],"field":[159],"measurements":[160],"confirm":[161],"TTD":[163],"framework's":[164],"operational":[165],"validity,":[166],"while":[167],"simulation":[169],"TNR":[171],"achieves":[173],"5":[174],"dB":[175],"SNR":[176],"improvement":[177],"over":[178,192],"2D":[179],"method,":[180],"CSP-based":[183],"delivers":[185],"21%":[187],"enhancement":[188],"probability":[191],"conventional":[193],"approaches.":[194]},"counts_by_year":[],"updated_date":"2026-06-06T06:22:57.294733","created_date":"2026-02-14T00:00:00"}