{"id":"https://openalex.org/W2116337243","doi":"https://doi.org/10.1109/sam.2000.878061","title":"The time-reversal technique re-interpreted: subspace-based signal processing for multi-static target location","display_name":"The time-reversal technique re-interpreted: subspace-based signal processing for multi-static target location","publication_year":2002,"publication_date":"2002-11-07","ids":{"openalex":"https://openalex.org/W2116337243","doi":"https://doi.org/10.1109/sam.2000.878061","mag":"2116337243"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2000.878061","doi":"https://doi.org/10.1109/sam.2000.878061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2000.878061","pdf_url":null,"source":{"id":"https://openalex.org/S4393917545","display_name":"IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","issn_l":"1551-2282","issn":["1551-2282"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5040128027","display_name":"H. Lev-Ari","orcid":"https://orcid.org/0000-0003-1937-5702","observed_orcids":["https://orcid.org/0000-0003-1937-5702"]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Lev-Ari","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","Northeastern University, Boston, MA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Northeastern University, Boston, MA, US","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002666620","display_name":"A.J. Devancy","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A.J. Devancy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8343,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.91558099,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"509","last_page":"513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.7064999938011169,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.7064999938011169,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.20739999413490295,"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"}},{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.010999999940395355,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/frequency-response-matrix","display_name":"frequency response matrix","score":0.8610000014305115},{"id":"https://openalex.org/keywords/active-antenna-arrays","display_name":"active antenna arrays","score":0.9300000071525574},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"singular value decomposition","score":0.6660000085830688},{"id":"https://openalex.org/keywords/wideband-signals","display_name":"wideband signals","score":0.8100000023841858},{"id":"https://openalex.org/keywords/non-homogeneous-media","display_name":"non-homogeneous media","score":0.781000018119812},{"id":"https://openalex.org/keywords/near-field-propagation","display_name":"near-field propagation","score":0.7979999780654907},{"id":"https://openalex.org/keywords/far-field-propagation","display_name":"far-field propagation","score":0.7129999995231628},{"id":"https://openalex.org/keywords/green-s-function","display_name":"Green's function","score":0.5},{"id":"https://openalex.org/keywords/reflection-coefficient","display_name":"reflection coefficient","score":0.5649999976158142}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7852854132652283},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.7559574842453003},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.6148484945297241},{"id":"https://openalex.org/C2778545087","wikidata":"https://www.wikidata.org/wiki/Q4795883","display_name":"Array processing","level":4,"score":0.5564610362052917},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4971018135547638},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4914959669113159},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.44550928473472595},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44496089220046997},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.4336671233177185},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4257197082042694},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.42048710584640503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4197724461555481},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3197475075721741},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23476862907409668},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2304534912109375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1912936270236969},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18486922979354858},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.14468392729759216},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam.2000.878061","doi":"https://doi.org/10.1109/sam.2000.878061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2000.878061","pdf_url":null,"source":{"id":"https://openalex.org/S4393917545","display_name":"IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","issn_l":"1551-2282","issn":["1551-2282"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2008860051","https://openalex.org/W2012583252","https://openalex.org/W2086370808","https://openalex.org/W2162654459","https://openalex.org/W2164097273","https://openalex.org/W2337966617"],"related_works":["https://openalex.org/W7100535817","https://openalex.org/W7097010885","https://openalex.org/W1714811174","https://openalex.org/W2756790125","https://openalex.org/W2348632053","https://openalex.org/W2392928771","https://openalex.org/W4393036030","https://openalex.org/W2147358934","https://openalex.org/W2539873052","https://openalex.org/W2022826682"],"abstract_inverted_index":{"The":[0,47,85,176],"time-reversal":[1,86,179],"field":[2,180],"processing":[3,45,142,181],"technique":[4,87],"for":[5,190],"active":[6,64],"remote":[7],"sensing":[8],"is":[9,35,55,68],"re-interpreted":[10],"in":[11,125],"the":[12,36,50,56,63,81,89,95,100,103,114,120,127,149,155],"conceptual":[13],"framework":[14],"of":[15,21,52,62,71,80,99,157,178],"subspace-based":[16,140,159],"signal":[17,44,141],"processing.":[18],"Though":[19],"both":[20,53],"these":[22,40],"subjects":[23],"have":[24],"a":[25,69,75,187],"long":[26],"and":[27,79,102,169,199,205],"extensive":[28],"history,":[29],"we":[30,137],"believe":[31],"that":[32,139],"our":[33,158],"work":[34],"first":[37],"to":[38,132,186],"relate":[39],"two":[41],"rather":[42],"different":[43],"approaches.":[46],"concept":[48],"at":[49],"heart":[51],"approaches":[54],"multi-static":[57],"frequency":[58],"response":[59],"matrix":[60],"(FRM)":[61],"antenna":[65],"array.":[66],"It":[67],"function":[70,122],"array/scatterer":[72],"geometry":[73],"(via":[74],"suitable":[76],"Green":[77,121],"function)":[78],"scatterers'":[82],"reflection":[83],"coefficients.":[84],"locates":[88],"most":[90],"reflective":[91],"target":[92],"by":[93,165],"determining":[94],"largest":[96],"singular":[97,106],"value":[98],"FRM":[101,128,171],"corresponding":[104],"(right)":[105],"vector.":[107],"Consequently,":[108],"it":[109],"performs":[110],"well":[111],"only":[112],"when":[113,119,148],"scatterers":[115],"are":[116,129,151],"\"well-resolved,\"":[117],"i.e.,":[118],"vectors":[123],"used":[124,146],"forming":[126],"approximately":[130],"orthogonal":[131],"each":[133],"other.":[134],"In":[135],"contrast,":[136],"show":[138],"can":[143,161],"be":[144,162],"successfully":[145],"even":[147],"targets":[150,192],"not":[152],"\"well-resolved.\"":[153],"Moreover,":[154],"performance":[156],"schemes":[160],"further":[163],"enhanced":[164],"using":[166],"wideband":[167],"signals":[168],"combining":[170],"information":[172],"from":[173],"multiple":[174],"frequencies.":[175],"coupling":[177],"with":[182],"subspace":[183],"methods":[184],"leads":[185],"powerful":[188],"approach":[189],"locating":[191],"under":[193],"arbitrary":[194,202,206],"wave-propagation":[195],"conditions":[196],"(both":[197],"near-field":[198],"far-field),":[200],"including":[201],"non-homogeneous":[203],"media":[204],"geometries.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":6}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
