{"id":"https://openalex.org/W2160020574","doi":"https://doi.org/10.1109/ciss.2011.5766108","title":"Noncoherent compressive sensing with application to distributed radar","display_name":"Noncoherent compressive sensing with application to distributed radar","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2160020574","doi":"https://doi.org/10.1109/ciss.2011.5766108","mag":"2160020574"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2011.5766108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2011.5766108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 45th Annual Conference on Information Sciences and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113077968","display_name":"Christian Berger","orcid":"https://orcid.org/0000-0002-6793-4073"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christian R. Berger","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045861415","display_name":"Jos\u00e9 M. F. Moura","orcid":"https://orcid.org/0000-0002-9822-8294"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josee M. F. Moura","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},{"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8128738403320312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.71572345495224},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.6774644255638123},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6711767911911011},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6337640285491943},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5840805172920227},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5214540362358093},{"id":"https://openalex.org/keywords/baseband","display_name":"Baseband","score":0.5152847766876221},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.49817633628845215},{"id":"https://openalex.org/keywords/basis-pursuit","display_name":"Basis pursuit","score":0.48440438508987427},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4508771300315857},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4348090589046478},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4339746832847595},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.26951444149017334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23840367794036865},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17975753545761108},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.10104286670684814}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8128738403320312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.71572345495224},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.6774644255638123},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6711767911911011},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6337640285491943},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5840805172920227},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5214540362358093},{"id":"https://openalex.org/C65165936","wikidata":"https://www.wikidata.org/wiki/Q575784","display_name":"Baseband","level":3,"score":0.5152847766876221},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.49817633628845215},{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.48440438508987427},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4508771300315857},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4348090589046478},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4339746832847595},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.26951444149017334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23840367794036865},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17975753545761108},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.10104286670684814},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2011.5766108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2011.5766108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 45th Annual Conference on Information Sciences and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1500551892","https://openalex.org/W2029521171","https://openalex.org/W2096985797","https://openalex.org/W2104266187","https://openalex.org/W2118051760","https://openalex.org/W2119667497","https://openalex.org/W2126607811","https://openalex.org/W2127271355","https://openalex.org/W2128007683","https://openalex.org/W2140122025","https://openalex.org/W2145841867","https://openalex.org/W2289917018","https://openalex.org/W2295549646"],"related_works":["https://openalex.org/W2436826437","https://openalex.org/W2169904627","https://openalex.org/W2388133936","https://openalex.org/W4385694579","https://openalex.org/W2371951202","https://openalex.org/W2340242818","https://openalex.org/W2103001330","https://openalex.org/W3048558715","https://openalex.org/W4319793311","https://openalex.org/W2465351041"],"abstract_inverted_index":{"We":[0,36,118],"consider":[1],"a":[2,41,63,79,106,123],"multi-static":[3],"radar":[4],"scenario":[5,39,125],"with":[6,126],"spatially":[7],"dislocated":[8],"receivers":[9,22,30,128],"that":[10,20,73,97,146,153,169],"can":[11,31,102,148],"individually":[12,99],"extract":[13],"delay":[14],"information":[15],"only.":[16],"Furthermore,":[17],"we":[18,144],"assume":[19],"the":[21,27,47,87,135,154,161,171],"are":[23,98],"not":[24],"phase-synchronized,":[25],"so":[26],"measurements":[28],"across":[29],"only":[32],"be":[33,103,149],"combined":[34],"noncoherently.":[35],"cast":[37],"this":[38,120],"as":[40,110],"compressive":[42],"sensing":[43],"reconstruction":[44,95,116],"problem,":[45],"where":[46],"vector":[48],"of":[49,52,56,65,82,173],"unknowns":[50],"consists":[51],"complex":[53],"baseband":[54],"coefficients":[55],"tentative":[57],"targets":[58,147],"at":[59],"discrete":[60],"positions":[61],"within":[62],"region":[64],"interest.":[66],"The":[67],"difference":[68],"to":[69,77,84,93,160],"previous":[70],"work":[71],"is":[72,158],"each":[74],"receiver":[75],"has":[76],"have":[78],"separate":[80],"set":[81],"variables":[83],"account":[85],"for":[86],"noncoherent":[88],"measurement":[89],"model.":[90],"This":[91],"leads":[92],"multiple":[94],"problems":[96],"ill-defined,":[100],"but":[101],"regularized":[104],"by":[105],"shared":[107],"sparsity":[108],"pattern,":[109],"studied":[111],"in":[112,122],"jointly-":[113],"or":[114],"block-sparse":[115],"problems.":[117],"evaluate":[119],"approach":[121],"simple":[124],"three":[127,130],"and":[129,139,152],"closely":[131],"spaced":[132],"targets.":[133,174],"Using":[134],"popular":[136],"basis":[137],"pursuit":[138,142],"orthogonal":[140],"matching":[141],"algorithms,":[143],"find":[145],"fully":[150],"resolved":[151],"position":[155],"estimation":[156],"error":[157],"close":[159],"Cram\u00e9r-Rao":[162],"lower":[163],"bound":[164],"based":[165],"on":[166],"an":[167],"estimator":[168],"knows":[170],"number":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
