{"id":"https://openalex.org/W2121130103","doi":"https://doi.org/10.1109/icdsp.2015.7251835","title":"Wall clutter mitigation using HOSVD in through-the-wall radar imaging with compressed sensing","display_name":"Wall clutter mitigation using HOSVD in through-the-wall radar imaging with compressed sensing","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2121130103","doi":"https://doi.org/10.1109/icdsp.2015.7251835","mag":"2121130103"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2015.7251835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Wall_clutter_mitigation_using_HOSVD_in_through-the-wall_radar_imaging_with_compressed_sensing/27720996","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","School of Electrical Computer and Telecommunications Engineering, University of Wollongong, NSW 2522, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer, and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]},{"raw_affiliation_string":"School of Electrical Computer and Telecommunications Engineering, University of Wollongong, NSW 2522, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","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","School of Electrical Computer and Telecommunications Engineering, University of Wollongong, NSW 2522, Australia"],"affiliations":[{"raw_affiliation_string":"University of Wollongong, Wollongong, NSW, AU","institution_ids":["https://openalex.org/I204824540"]},{"raw_affiliation_string":"School of Electrical Computer and Telecommunications Engineering, University of Wollongong, NSW 2522, Australia","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072662577"],"corresponding_institution_ids":["https://openalex.org/I204824540"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07653616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"89"},"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":0.9995999932289124,"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/clutter","display_name":"Clutter","score":0.8349918723106384},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6183769702911377},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.611875593662262},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.6078211665153503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.60709547996521},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5913909673690796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5801023244857788},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.567714512348175},{"id":"https://openalex.org/keywords/multilinear-map","display_name":"Multilinear map","score":0.4621700942516327},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.45435866713523865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4455745220184326},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42801743745803833},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.42289865016937256},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4113868176937103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31005650758743286},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17855462431907654},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13069704174995422}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8349918723106384},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6183769702911377},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.611875593662262},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.6078211665153503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60709547996521},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5913909673690796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5801023244857788},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.567714512348175},{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.4621700942516327},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.45435866713523865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4455745220184326},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42801743745803833},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.42289865016937256},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4113868176937103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31005650758743286},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17855462431907654},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13069704174995422},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icdsp.2015.7251835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:ro.uow.edu.au:eispapers-5741","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/eispapers/4720","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 A","raw_type":"presentation"},{"id":"pmh:oai:figshare.com:article/27720996","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Wall_clutter_mitigation_using_HOSVD_in_through-the-wall_radar_imaging_with_compressed_sensing/27720996","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27720996","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Wall_clutter_mitigation_using_HOSVD_in_through-the-wall_radar_imaging_with_compressed_sensing/27720996","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W94565353","https://openalex.org/W640456376","https://openalex.org/W640945449","https://openalex.org/W883639757","https://openalex.org/W1967589385","https://openalex.org/W1972149108","https://openalex.org/W1980651854","https://openalex.org/W1991031161","https://openalex.org/W1991198335","https://openalex.org/W1994426673","https://openalex.org/W1998827856","https://openalex.org/W2005643370","https://openalex.org/W2011775600","https://openalex.org/W2013912476","https://openalex.org/W2023403064","https://openalex.org/W2041625550","https://openalex.org/W2096710051","https://openalex.org/W2099157788","https://openalex.org/W2106340133","https://openalex.org/W2108207327","https://openalex.org/W2115658905","https://openalex.org/W2119667497","https://openalex.org/W2123576350","https://openalex.org/W2127721429","https://openalex.org/W2139643075","https://openalex.org/W2140367840","https://openalex.org/W2145856765","https://openalex.org/W2147544992","https://openalex.org/W2150383969","https://openalex.org/W2154011501","https://openalex.org/W2157745087","https://openalex.org/W2160664759","https://openalex.org/W2167208435","https://openalex.org/W2511885285","https://openalex.org/W2962761750","https://openalex.org/W6603861661","https://openalex.org/W6676340756"],"related_works":["https://openalex.org/W1999178348","https://openalex.org/W4296311369","https://openalex.org/W4318719034","https://openalex.org/W2396820687","https://openalex.org/W3035010459","https://openalex.org/W3151212431","https://openalex.org/W4295021234","https://openalex.org/W2011892585","https://openalex.org/W2094567862","https://openalex.org/W2532569109"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,17,20,32,58,64,70,73,102,107],"problem":[4],"of":[5,72],"wall":[6,54,62,74,110],"clutter":[7,111],"mitigation":[8,112],"in":[9],"through-the-wall":[10],"radar":[11,21,65],"imaging":[12],"using":[13,25,84],"compressed":[14],"sensing.":[15],"In":[16],"proposed":[18,103],"method,":[19],"signals":[22],"are":[23,35],"recovered":[24],"a":[26,38,52,77,91],"joint":[27],"Bayesian":[28],"sparse":[29],"representation,":[30],"and":[31,95],"estimated":[33],"coefficients":[34],"transformed":[36],"into":[37],"third-order":[39],"data":[40],"tensor.":[41],"Then,":[42],"higher-order":[43],"singular":[44],"value":[45],"decomposition":[46],"(HOSVD)":[47],"is":[48,67,82],"applied":[49],"to":[50],"form":[51],"multilinear":[53],"subspace.":[55,75],"To":[56],"remove":[57],"returns":[59],"associated":[60],"with":[61],"clutter,":[63],"signal":[66],"projected":[68],"onto":[69],"complement":[71],"Furthermore,":[76],"compact":[78],"image":[79],"formation":[80],"model":[81],"developed":[83],"principal":[85],"component":[86],"analysis":[87],"(PCA),":[88],"which":[89],"yields":[90],"smaller":[92],"dictionary":[93],"size":[94],"reduced":[96],"noise.":[97],"Experimental":[98],"results":[99],"show":[100],"that":[101],"HOSVD-based":[104],"method":[105],"outperforms":[106],"standard":[108],"SVD-based":[109],"technique.":[113]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}