{"id":"https://openalex.org/W4405975583","doi":"https://doi.org/10.1109/pimrc59610.2024.10817311","title":"Human Detection Based on Learning and Classification of Radio Scattering Parameters and Para-Hermitian Eigenvalue Decomposition","display_name":"Human Detection Based on Learning and Classification of Radio Scattering Parameters and Para-Hermitian Eigenvalue Decomposition","publication_year":2024,"publication_date":"2024-09-02","ids":{"openalex":"https://openalex.org/W4405975583","doi":"https://doi.org/10.1109/pimrc59610.2024.10817311"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc59610.2024.10817311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc59610.2024.10817311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5114746185","display_name":"Frank E. Ebong","orcid":"https://orcid.org/0009-0004-6654-4104"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Frank E. Ebong","raw_affiliation_strings":["University of Klagenfurt,Institute of Networked and Embedded Systems,Klagenfurt,Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Klagenfurt,Institute of Networked and Embedded Systems,Klagenfurt,Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020232763","display_name":"Nicola Novello","orcid":"https://orcid.org/0009-0009-8540-0233"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Nicola Novello","raw_affiliation_strings":["University of Klagenfurt,Institute of Networked and Embedded Systems,Klagenfurt,Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Klagenfurt,Institute of Networked and Embedded Systems,Klagenfurt,Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046459259","display_name":"Andrea M. Tonello","orcid":"https://orcid.org/0000-0002-9873-2407"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andrea M. Tonello","raw_affiliation_strings":["University of Klagenfurt,Institute of Networked and Embedded Systems,Klagenfurt,Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Klagenfurt,Institute of Networked and Embedded Systems,Klagenfurt,Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210166741"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.7322999835014343,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.7322999835014343,"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/hermitian-matrix","display_name":"Hermitian matrix","score":0.777074933052063},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.6809283494949341},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5832944512367249},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5743395090103149},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.5308163166046143},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3998768925666809},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35486897826194763},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3256690502166748},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.32046276330947876},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.22815248370170593},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16056853532791138},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.10158750414848328}],"concepts":[{"id":"https://openalex.org/C94940","wikidata":"https://www.wikidata.org/wiki/Q652941","display_name":"Hermitian matrix","level":2,"score":0.777074933052063},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.6809283494949341},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5832944512367249},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5743395090103149},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.5308163166046143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3998768925666809},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35486897826194763},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3256690502166748},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.32046276330947876},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.22815248370170593},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16056853532791138},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.10158750414848328},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc59610.2024.10817311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc59610.2024.10817311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2106453750","https://openalex.org/W2113346827","https://openalex.org/W2137983211","https://openalex.org/W2294724112","https://openalex.org/W2480255967","https://openalex.org/W2525157912","https://openalex.org/W2783857023","https://openalex.org/W3120679850","https://openalex.org/W3173154025","https://openalex.org/W4293363567","https://openalex.org/W4296338975","https://openalex.org/W4367595661","https://openalex.org/W4382935490"],"related_works":["https://openalex.org/W3196977684","https://openalex.org/W3104367283","https://openalex.org/W2950761947","https://openalex.org/W1635499494","https://openalex.org/W147306372","https://openalex.org/W2145713479","https://openalex.org/W1981950143","https://openalex.org/W2014691009","https://openalex.org/W1987381380","https://openalex.org/W2470850800"],"abstract_inverted_index":{"In":[0],"this":[1,49],"article,":[2],"we":[3],"introduce":[4],"a":[5],"novel":[6],"machine":[7],"learning":[8],"algorithm":[9,32,50],"termed":[10],"the":[11,46,57,63,71,79,83],"S-parameters-based":[12],"Human":[13],"Detection":[14],"Algorithm":[15],"(S-PBHD).":[16],"Designed":[17],"to":[18,34,45],"operate":[19],"on":[20],"radio":[21,65],"frequency":[22],"datasets":[23],"transformed":[24],"into":[25],"an":[26],"S-parameter":[27,84],"multi-port":[28,85],"channel":[29,86],"matrix,":[30],"our":[31],"aims":[33],"detect":[35],"human":[36],"targets":[37],"within":[38],"indoor":[39],"environments":[40],"using":[41],"distributed":[42],"antennas.":[43],"Central":[44],"efficacy":[47],"of":[48,59],"lies":[51],"its":[52],"preprocessing":[53],"phase,":[54],"which":[55,76],"entails":[56],"extraction":[58],"critical":[60],"components":[61],"from":[62],"scattered":[64],"field.":[66],"This":[67],"is":[68],"achieved":[69],"through":[70],"Para-Hermitian":[72],"Eigenvalue":[73],"Decomposition":[74],"method,":[75],"effectively":[77],"disentangles":[78],"complexities":[80],"inherent":[81],"in":[82],"matrix.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}