{"id":"https://openalex.org/W4323521125","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10052011","title":"Partially-Calibrated Sparse Subarrays for Direction-of-Arrival Estimation with Increased Degrees of Freedom","display_name":"Partially-Calibrated Sparse Subarrays for Direction-of-Arrival Estimation with Increased Degrees of Freedom","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4323521125","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10052011"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf56349.2022.10052011","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10052011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","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/A5048797265","display_name":"Wesley S. Leite","orcid":"https://orcid.org/0000-0002-3423-4820"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Wesley S. Leite","raw_affiliation_strings":["Center for Telecommunications Research (CETUC) Pontifical Catholic University of Rio de Janeiro (PUC-Rio),Rio de Janeiro,Brazil","Center for Telecommunications Research (CETUC) Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Telecommunications Research (CETUC) Pontifical Catholic University of Rio de Janeiro (PUC-Rio),Rio de Janeiro,Brazil","institution_ids":["https://openalex.org/I2699952"]},{"raw_affiliation_string":"Center for Telecommunications Research (CETUC) Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049028312","display_name":"Rodrigo C. de Lamare","orcid":"https://orcid.org/0000-0003-2322-6451"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo C. De Lamare","raw_affiliation_strings":["Center for Telecommunications Research (CETUC) Pontifical Catholic University of Rio de Janeiro (PUC-Rio),Rio de Janeiro, RJ","Center for Telecommunications Research (CETUC) Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Telecommunications Research (CETUC) Pontifical Catholic University of Rio de Janeiro (PUC-Rio),Rio de Janeiro, RJ","institution_ids":["https://openalex.org/I2699952"]},{"raw_affiliation_string":"Center for Telecommunications Research (CETUC) Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ","institution_ids":["https://openalex.org/I2699952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2699952"],"apc_list":null,"apc_paid":null,"fwci":0.1486,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44914972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"980","last_page":"984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9983999729156494,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/degrees-of-freedom","display_name":"Degrees of freedom (physics and chemistry)","score":0.7153735160827637},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.6555231809616089},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6174049377441406},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.55714350938797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5466896891593933},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5457864999771118},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5318329930305481},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5269280672073364},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.44663023948669434},{"id":"https://openalex.org/keywords/multiple-signal-classification","display_name":"Multiple signal classification","score":0.43962424993515015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43385568261146545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34956395626068115},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3237040638923645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2317933440208435},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2273567020893097},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10314294695854187}],"concepts":[{"id":"https://openalex.org/C208081375","wikidata":"https://www.wikidata.org/wiki/Q274502","display_name":"Degrees of freedom (physics and chemistry)","level":2,"score":0.7153735160827637},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.6555231809616089},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6174049377441406},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.55714350938797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5466896891593933},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5457864999771118},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5318329930305481},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5269280672073364},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.44663023948669434},{"id":"https://openalex.org/C206118826","wikidata":"https://www.wikidata.org/wiki/Q3841682","display_name":"Multiple signal classification","level":3,"score":0.43962424993515015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43385568261146545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34956395626068115},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3237040638923645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2317933440208435},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2273567020893097},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10314294695854187},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf56349.2022.10052011","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10052011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1536252645","https://openalex.org/W1963918507","https://openalex.org/W1964521756","https://openalex.org/W2085910483","https://openalex.org/W2098174516","https://openalex.org/W2102340630","https://openalex.org/W2115309662","https://openalex.org/W2118686117","https://openalex.org/W2128040899","https://openalex.org/W2151105244","https://openalex.org/W2161666352","https://openalex.org/W2305569075","https://openalex.org/W2342925881","https://openalex.org/W2615063356","https://openalex.org/W2760013608","https://openalex.org/W2962815424","https://openalex.org/W3165892551","https://openalex.org/W4214854750","https://openalex.org/W4312406549","https://openalex.org/W4323530055","https://openalex.org/W6698386976","https://openalex.org/W6810018132"],"related_works":["https://openalex.org/W2043333398","https://openalex.org/W2169576905","https://openalex.org/W4383333931","https://openalex.org/W3041376971","https://openalex.org/W2074954788","https://openalex.org/W4319978628","https://openalex.org/W2174115052","https://openalex.org/W3152834843","https://openalex.org/W2076554046","https://openalex.org/W2105834977"],"abstract_inverted_index":{"This":[0,66],"paper":[1],"investigates":[2],"the":[3,18,39,56,59,77,85,95,103,107,121,133],"problem":[4],"of":[5,58,88,100,123],"direction-of-arrival":[6],"(DOA)":[7],"estimation":[8,26,104],"using":[9],"multiple":[10],"partially-calibrated":[11,31],"sparse":[12,32,113],"subarrays.":[13,33,80],"In":[14,81],"particular,":[15],"we":[16],"present":[17],"Generalized":[19],"Coarray":[20],"Multiple":[21,109],"Signal":[22,110],"Classification":[23,111],"(GCA-MUSIC)":[24],"DOA":[25],"algorithm":[27,37],"to":[28,63,93,116],"scenarios":[29],"with":[30,97],"The":[34],"proposed":[35,134],"GCA-MUSIC":[36,135],"exploits":[38],"difference":[40],"coarray":[41,108],"for":[42],"each":[43,64,89,127],"subarray,":[44],"followed":[45],"by":[46],"a":[47,73],"specific":[48],"pseudo-spectrum":[49],"merging":[50],"rule":[51,67],"that":[52,69,82,132],"is":[53,71],"based":[54],"on":[55],"intersection":[57],"signal":[60],"subspaces":[61],"associated":[62],"subarray.":[65,128],"assumes":[68],"there":[70],"no":[72],"priori":[74],"knowledge":[75],"about":[76],"cross-covariance":[78],"between":[79],"way,":[83],"only":[84],"second-order":[86],"statistics":[87],"subarray":[90],"are":[91],"used":[92],"estimate":[94,117],"directions":[96],"increased":[98],"degrees":[99],"freedom,":[101],"i.e.,":[102],"procedure":[105],"preserves":[106],"and":[112],"arrays":[114],"properties":[115],"more":[118],"sources":[119],"than":[120,139],"number":[122],"physical":[124],"sensors":[125],"in":[126],"Numerical":[129],"simulations":[130],"show":[131],"has":[136],"better":[137],"performance":[138],"other":[140],"similar":[141],"strategies.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}