{"id":"https://openalex.org/W2078627534","doi":"https://doi.org/10.1137/11084368x","title":"Passive Imaging of Moving Targets Using Sparse Distributed Apertures","display_name":"Passive Imaging of Moving Targets Using Sparse Distributed Apertures","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2078627534","doi":"https://doi.org/10.1137/11084368x","mag":"2078627534"},"language":"en","primary_location":{"id":"doi:10.1137/11084368x","is_oa":false,"landing_page_url":"https://doi.org/10.1137/11084368x","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-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/A5100398717","display_name":"Ling Wang","orcid":"https://orcid.org/0000-0003-1035-5633"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ling Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056090082","display_name":"Birsen Yaz\u0131c\u0131","orcid":"https://orcid.org/0000-0002-0912-0848"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Birsen Yazici","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100398717"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6306,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.92867849,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"5","issue":"3","first_page":"769","last_page":"808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9969000220298767,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.587038516998291},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.5864405035972595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5288856029510498},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5282964706420898},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49707749485969543},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.48361101746559143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43101435899734497},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42656394839286804},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.4140802323818207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40429267287254333},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3852120637893677},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.358171284198761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3436071276664734},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.31855306029319763},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16830021142959595},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1568431556224823},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11035296320915222}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.587038516998291},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.5864405035972595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5288856029510498},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5282964706420898},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49707749485969543},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.48361101746559143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43101435899734497},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42656394839286804},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.4140802323818207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40429267287254333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3852120637893677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.358171284198761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3436071276664734},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.31855306029319763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16830021142959595},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1568431556224823},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11035296320915222},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/11084368x","is_oa":false,"landing_page_url":"https://doi.org/10.1137/11084368x","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W145507526","https://openalex.org/W574214843","https://openalex.org/W1523113578","https://openalex.org/W1525535255","https://openalex.org/W1538006934","https://openalex.org/W1546176599","https://openalex.org/W1965392255","https://openalex.org/W1974439616","https://openalex.org/W1975481206","https://openalex.org/W1982579414","https://openalex.org/W1986628290","https://openalex.org/W1989479702","https://openalex.org/W2000341326","https://openalex.org/W2006154243","https://openalex.org/W2011661039","https://openalex.org/W2014024561","https://openalex.org/W2019341687","https://openalex.org/W2024771672","https://openalex.org/W2024889414","https://openalex.org/W2043830805","https://openalex.org/W2051478494","https://openalex.org/W2055483525","https://openalex.org/W2059067077","https://openalex.org/W2066021152","https://openalex.org/W2066339801","https://openalex.org/W2078366730","https://openalex.org/W2097500254","https://openalex.org/W2097622119","https://openalex.org/W2100578336","https://openalex.org/W2101996248","https://openalex.org/W2111995369","https://openalex.org/W2119067479","https://openalex.org/W2119574014","https://openalex.org/W2121827072","https://openalex.org/W2123864323","https://openalex.org/W2128049890","https://openalex.org/W2129683646","https://openalex.org/W2130461181","https://openalex.org/W2131576659","https://openalex.org/W2134197438","https://openalex.org/W2135631451","https://openalex.org/W2137052588","https://openalex.org/W2142595028","https://openalex.org/W2144735242","https://openalex.org/W2151840477","https://openalex.org/W2153184897","https://openalex.org/W2154368165","https://openalex.org/W2155962206","https://openalex.org/W2166947456","https://openalex.org/W2168092927","https://openalex.org/W2169117591","https://openalex.org/W2169263958","https://openalex.org/W4300573280"],"related_works":["https://openalex.org/W3015822731","https://openalex.org/W2075332338","https://openalex.org/W4386776152","https://openalex.org/W1970221037","https://openalex.org/W2488034322","https://openalex.org/W1826709224","https://openalex.org/W2584466131","https://openalex.org/W2135903028","https://openalex.org/W4249874928","https://openalex.org/W2913739054"],"abstract_inverted_index":{"We":[0,161,195],"develop":[1],"a":[2,16,33,57,96],"new":[3],"passive":[4,35,48,206],"imaging":[5,29,176,209],"method":[6,30,177,210],"for":[7,38,51,101,211],"moving":[8,39,52,207],"targets":[9,40,53],"in":[10,65,178,224],"free":[11],"space":[12],"using":[13,113],"measurements":[14,55,61,156],"from":[15],"sparse":[17],"array":[18],"of":[19,26,32,67,75,83,127,147,154,168,174,180,183,190,193,204,214,219,221],"receivers":[20,64,184,215],"that":[21,119],"rely":[22],"on":[23,72],"illumination":[24],"sources":[25],"opportunity.":[27,194],"Our":[28],"consists":[31],"novel":[34],"measurement":[36,49],"model":[37,50,89],"and":[41,69,106,116,151,165,185,187,216],"an":[42,102],"associated":[43],"image":[44,93,109],"formation":[45,94],"method.":[46],"The":[47,108],"relates":[54],"at":[56,62,158],"given":[58],"receiver":[59],"to":[60,90,136,200],"other":[63],"terms":[66,179],"Doppler":[68],"delay":[70],"based":[71],"the":[73,81,92,114,124,128,131,139,145,148,155,163,169,181,188,191,202,225],"physics":[74],"wave":[76],"propagation":[77],"as":[78,80,95,144],"well":[79],"statistics":[82],"noise.":[84],"Next,":[85],"we":[86],"use":[87],"this":[88],"address":[91],"generalized":[97],"likelihood":[98],"ratio":[99,126],"test":[100],"unknown":[103],"target":[104,208],"position":[105],"velocity.":[107],"is":[110,120,134],"formed":[111],"by":[112,122],"position-":[115],"velocity-resolved":[117],"test-statistic":[118,140],"obtained":[121,157],"maximizing":[123],"signal-to-noise":[125],"test-statistic.":[129],"When":[130],"discriminant":[132],"functional":[133],"constrained":[135],"be":[137,142],"linear,":[138],"can":[141],"viewed":[143],"superposition":[146],"filtered,":[149],"scaled,":[150],"delayed":[152],"correlations":[153],"different":[159,212,217],"receivers.":[160],"analyze":[162],"spatial":[164],"velocity":[166],"resolution":[167],"four-dimensional":[170],"point":[171],"spread":[172],"function":[173],"our":[175,205],"number":[182],"transmitters":[186],"nature":[189],"waveforms":[192,220],"present":[196],"extensive":[197],"numerical":[198],"simulations":[199],"demonstrate":[201],"performance":[203],"numbers":[213],"types":[218],"opportunity":[222],"available":[223],"real":[226],"world.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
