{"id":"https://openalex.org/W2248231779","doi":"https://doi.org/10.1109/camsap.2015.7383832","title":"Extended target localization with total-variation denoising in through-the-wall-imaging","display_name":"Extended target localization with total-variation denoising in through-the-wall-imaging","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2248231779","doi":"https://doi.org/10.1109/camsap.2015.7383832","mag":"2248231779"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2015.7383832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2015.7383832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-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/A5058148354","display_name":"Hiroyuki Handa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hiroyuki Handa","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge, MA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101648073","display_name":"Hassan Mansour","orcid":"https://orcid.org/0000-0002-1667-9885"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hassan Mansour","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge, MA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052544518","display_name":"Dehong Liu","orcid":"https://orcid.org/0000-0003-3355-3018"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dehong Liu","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge, MA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024602237","display_name":"Ulugbek S. Kamilov","orcid":"https://orcid.org/0000-0001-6770-3278"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ulugbek S. Kamilov","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge, MA","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058148354"],"corresponding_institution_ids":["https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1123663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"445","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":1.0,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9993000030517578,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8182234764099121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6128754615783691},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.5370084047317505},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.5290433764457703},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5278617739677429},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5272293090820312},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.49222174286842346},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4794691801071167},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4428607225418091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4403458833694458},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.41725897789001465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41700971126556396},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.366582453250885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35004329681396484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2750433683395386},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10735490918159485},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.10028901696205139}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8182234764099121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6128754615783691},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.5370084047317505},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.5290433764457703},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5278617739677429},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5272293090820312},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49222174286842346},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4794691801071167},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4428607225418091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4403458833694458},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.41725897789001465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41700971126556396},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.366582453250885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35004329681396484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2750433683395386},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10735490918159485},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.10028901696205139},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap.2015.7383832","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2015.7383832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314455","display_name":"Minist\u00e8re de l'\u00c9conomie, de la Science et de l'Innovation - Qu\u00e9bec","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W262434803","https://openalex.org/W1711285745","https://openalex.org/W2008340591","https://openalex.org/W2036617413","https://openalex.org/W2038063001","https://openalex.org/W2061258054","https://openalex.org/W2077750004","https://openalex.org/W2086270461","https://openalex.org/W2103559027","https://openalex.org/W2106681468","https://openalex.org/W2142224912","https://openalex.org/W2143531558","https://openalex.org/W2148137567","https://openalex.org/W6609715682","https://openalex.org/W6637509003","https://openalex.org/W6665989100"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W2115015615","https://openalex.org/W2351401443","https://openalex.org/W3011102797","https://openalex.org/W4320921117","https://openalex.org/W2431104759","https://openalex.org/W1649651896","https://openalex.org/W2317958419","https://openalex.org/W2116961228","https://openalex.org/W3173283069"],"abstract_inverted_index":{"We":[0,144],"propose":[1],"a":[2,53,101,138],"target":[3,27,83,87,110,142],"detection":[4,88],"and":[5,25,64,160],"clutter":[6,49,95],"removal":[7,50],"technique":[8],"for":[9,107],"through":[10],"the":[11,17,23,38,48,62,65,73,78,86,94,113,128,150],"wall":[12,24],"radar":[13],"imaging":[14],"that":[15,100,148],"captures":[16],"extended":[18,82],"reflections":[19,84],"of":[20,81,153],"targets":[21],"behind":[22],"determines":[26],"consistency":[28],"using":[29],"total":[30,124],"variation":[31,125],"denoising.":[32],"Our":[33],"approach":[34,155],"is":[35,105],"based":[36],"on":[37,61,127],"multipath":[39,66,115],"elimination":[40],"by":[41,76,98,133],"sparse":[42],"inversion":[43],"(MESI)":[44],"algorithm":[45,75],"which":[46],"models":[47],"problem":[51,57],"as":[52],"structured":[54],"blind":[55],"deconvolution":[56],"with":[58],"sparsity":[59],"constraints":[60],"scene":[63],"reflections.":[67,116],"In":[68],"this":[69],"work,":[70],"we":[71,122],"extend":[72],"MESI":[74,159],"incorporating":[77],"spatial":[79],"correlation":[80],"into":[85],"stage.":[89],"This":[90],"in":[91],"turn":[92],"improves":[93],"mitigation":[96],"performance":[97,152],"ensuring":[99],"separate":[102],"convolution":[103],"kernel":[104],"computed":[106],"each":[108],"detected":[109],"to":[111,136,157],"match":[112],"corresponding":[114],"When":[117],"MIMO":[118,161],"measurements":[119],"are":[120],"available,":[121],"apply":[123],"denoising":[126],"clutter-suppressed":[129],"SIMO":[130],"images":[131],"followed":[132],"incoherent":[134],"summation":[135],"generate":[137],"single":[139],"noise":[140],"free":[141],"image.":[143],"present":[145],"numerical":[146],"experiments":[147],"demonstrate":[149],"improved":[151],"our":[154],"compared":[156],"standard":[158],"imaging.":[162]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}