{"id":"https://openalex.org/W2593454314","doi":"https://doi.org/10.1109/icassp.2017.7952734","title":"Through-the-wall radar signal classification using discriminative dictionary learning","display_name":"Through-the-wall radar signal classification using discriminative dictionary learning","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2593454314","doi":"https://doi.org/10.1109/icassp.2017.7952734","mag":"2593454314"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072662577","display_name":"Abdesselam Bouzerdoum","orcid":"https://orcid.org/0000-0002-9163-0045"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Abdesselam Bouzerdoum","raw_affiliation_strings":["School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088693326","display_name":"Fok Hing Chi Tivive","orcid":"https://orcid.org/0000-0001-8961-2289"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fok Hing Chi Tivive","raw_affiliation_strings":["University of Wollongong, Wollongong, NSW, AU"],"affiliations":[{"raw_affiliation_string":"University of Wollongong, Wollongong, NSW, AU","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011196247","display_name":"Fei Jia","orcid":"https://orcid.org/0000-0001-5212-6551"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jia Fei","raw_affiliation_strings":["School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072662577"],"corresponding_institution_ids":["https://openalex.org/I204824540"],"apc_list":null,"apc_paid":null,"fwci":0.5816,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68084768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6498","issue":null,"first_page":"3136","last_page":"3140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11609","display_name":"Geophysical Methods and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994000196456909,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7574691772460938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7014645338058472},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6829566955566406},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6494125127792358},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5979743003845215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5931071639060974},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4788529872894287},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4599444568157196},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44162434339523315},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.41153624653816223},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2691081464290619},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07720926403999329}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7574691772460938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7014645338058472},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6829566955566406},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6494125127792358},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5979743003845215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5931071639060974},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4788529872894287},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4599444568157196},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44162434339523315},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41153624653816223},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2691081464290619},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07720926403999329}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2017.7952734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:ro.uow.edu.au:eispapers1-1475","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/eispapers1/474","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty of Engineering and Information Sciences - Papers: Part B","raw_type":"presentation"},{"id":"pmh:oai:figshare.com:article/27778464","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27778464","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W883639757","https://openalex.org/W1224644281","https://openalex.org/W1562115921","https://openalex.org/W1963932623","https://openalex.org/W1991060216","https://openalex.org/W2027805700","https://openalex.org/W2031717160","https://openalex.org/W2043929537","https://openalex.org/W2074346632","https://openalex.org/W2102426880","https://openalex.org/W2116634008","https://openalex.org/W2121616118","https://openalex.org/W2126131432","https://openalex.org/W2154820920","https://openalex.org/W2156296851","https://openalex.org/W2157770256","https://openalex.org/W2160547390","https://openalex.org/W2237319724","https://openalex.org/W3146515747","https://openalex.org/W6633534104","https://openalex.org/W6675795046","https://openalex.org/W6678689058"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W1487808658","https://openalex.org/W2761785940","https://openalex.org/W2129933262","https://openalex.org/W2005234362","https://openalex.org/W1997235926","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Through-the-wall":[0],"radar":[1,56,130],"imaging":[2],"is":[3,23,73,108],"an":[4,29],"electromagnetic":[5],"wave":[6],"sensing":[7],"technology":[8],"capable":[9],"of":[10,20,31,41,91],"detecting":[11],"targets":[12,22,40,77],"behind":[13,78],"walls,":[14],"doors,":[15],"and":[16,34,37,48,115],"opaque":[17],"obstacles.":[18],"Identification":[19],"stationary":[21],"often":[24],"achieved":[25],"by":[26],"first":[27,98],"forming":[28],"image":[30,65,139],"the":[32,39,82,92,103,124],"scene,":[33],"then":[35],"segmenting":[36],"classifying":[38],"interest.":[42],"In":[43],"order":[44],"to":[45,75,110,138],"provide":[46],"prompt":[47],"reliable":[49],"situational":[50],"awareness,":[51],"this":[52],"paper":[53],"proposes":[54],"a":[55,68,79,112,116],"signal":[57],"classification":[58],"approach":[59],"that":[60,123],"does":[61],"not":[62],"rely":[63],"on":[64],"formation.":[66,140],"Here,":[67],"dictionary":[69,114],"learning":[70],"based":[71],"method":[72,126],"employed":[74],"classify":[76,128],"wall":[80],"using":[81],"signals":[83,131],"received":[84],"from":[85],"individual":[86,129],"antennas.":[87],"The":[88],"cepstrum":[89],"coefficients":[90],"high":[93,133],"resolution":[94],"range":[95],"profile":[96],"are":[97],"extracted":[99],"as":[100],"features.":[101],"Then,":[102],"latent":[104],"consistent":[105],"K-SVD":[106],"algorithm":[107],"used":[109],"learn":[111],"discriminative":[113],"linear":[117],"classifier":[118],"simultaneously.":[119],"Experimental":[120],"results":[121],"show":[122],"proposed":[125],"can":[127],"with":[132],"accuracy,":[134],"without":[135],"having":[136],"recourse":[137]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}