{"id":"https://openalex.org/W3013024673","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048961","title":"1-Bit Sparse Gridless Super-Resolution Doa Estimation For Coprime Arrays","display_name":"1-Bit Sparse Gridless Super-Resolution Doa Estimation For Coprime Arrays","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3013024673","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048961","mag":"3013024673"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9048961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd 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/A5053899343","display_name":"Anupama Govinda Raj","orcid":"https://orcid.org/0000-0003-4174-9379"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anupama Govinda Raj","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006151039","display_name":"James H. McClellan","orcid":"https://orcid.org/0000-0003-0647-9561"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James H. McClellan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053899343"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.1659,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49521296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"103","issue":null,"first_page":"108","last_page":"112"},"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/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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9970999956130981,"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/coprime-integers","display_name":"Coprime integers","score":0.8385792374610901},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6381328105926514},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5087206959724426},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5061916708946228},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.46560078859329224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4521328806877136},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.44116461277008057},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4316951036453247},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.42825815081596375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39660048484802246}],"concepts":[{"id":"https://openalex.org/C23230895","wikidata":"https://www.wikidata.org/wiki/Q104752","display_name":"Coprime integers","level":2,"score":0.8385792374610901},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6381328105926514},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5087206959724426},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5061916708946228},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.46560078859329224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4521328806877136},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.44116461277008057},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4316951036453247},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.42825815081596375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39660048484802246},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9048961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W622930292","https://openalex.org/W1776974347","https://openalex.org/W1965673099","https://openalex.org/W1998435731","https://openalex.org/W2010066971","https://openalex.org/W2053637529","https://openalex.org/W2119499160","https://openalex.org/W2127989808","https://openalex.org/W2149551443","https://openalex.org/W2526144952","https://openalex.org/W2565293665","https://openalex.org/W2636013260","https://openalex.org/W2892658054","https://openalex.org/W2923330754","https://openalex.org/W2964325628","https://openalex.org/W3101800928","https://openalex.org/W4243182635","https://openalex.org/W6682005814"],"related_works":["https://openalex.org/W2849843506","https://openalex.org/W4317795331","https://openalex.org/W3205335469","https://openalex.org/W2760841258","https://openalex.org/W2606284533","https://openalex.org/W2913381933","https://openalex.org/W2736071613","https://openalex.org/W3006538650","https://openalex.org/W4320015584","https://openalex.org/W4385953664"],"abstract_inverted_index":{"Direction":[0],"of":[1,40,68,147,170,185],"Arrival":[2],"(DOA)":[3],"estimation":[4,48,98],"using":[5,143],"1-bit":[6,24,59,79,181],"analog-to-digital":[7],"converters":[8],"(ADCs)":[9],"offers":[10],"significant":[11],"cost,":[12],"power,":[13],"and":[14,94,168,182,189],"hardware":[15],"complexity":[16],"reduction":[17],"for":[18,29,49],"sensor":[19],"arrays.":[20],"We":[21],"propose":[22],"a":[23,65,121,148,190],"sparse":[25,54],"super-resolution":[26,55],"DOA":[27,35,47,97,139],"method":[28,173],"coprime":[30,50,91],"arrays":[31,51],"to":[32,58,120,176],"achieve":[33],"search-free":[34,138],"estimation,":[36],"under":[37],"the":[38,62,69,78,86,90,96,110,137,144,153,171,197],"assumption":[39],"uncorrelated":[41],"sources.":[42],"The":[43,81,114,165],"approach":[44],"extends":[45],"gridless":[46,199],"based":[52],"on":[53],"(SR)":[56],"theory":[57],"measurements.":[60],"Using":[61],"arcsine":[63],"law,":[64],"scaled":[66],"version":[67],"full":[70],"precision":[71],"covariance":[72,83],"matrix":[73,84,127],"can":[74],"be":[75],"recovered":[76],"from":[77,89,152],"data.":[80],"vectorized":[82],"becomes":[85],"effective":[87],"measurements":[88],"virtual":[92],"array,":[93],"then":[95],"problem":[99,108,117],"is":[100,118,131,174],"expressed":[101],"as":[102,180,194,196],"an":[103,158],"infinite-dimensional":[104],"atomic":[105],"norm":[106,163],"minimization":[107],"in":[109,133],"continuous":[111],"angle":[112],"domain.":[113],"corresponding":[115],"dual":[116,154],"converted":[119],"finite":[122],"semidefinite":[123],"program":[124],"with":[125],"linear":[126],"inequality":[128],"constraints,":[129],"that":[130],"solvable":[132],"polynomial":[134,150],"time.":[135],"Finally,":[136],"estimates":[140],"are":[141],"obtained":[142],"unit-circle":[145],"zeros":[146],"nonnegative":[149],"formed":[151],"polynomial,":[155],"followed":[156],"by":[157],"\u2113":[159],"<sub":[160],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[162],"minimization.":[164],"angular":[166],"resolution":[167],"accuracy":[169],"proposed":[172],"compared":[175],"state-of-the-art":[177],"approaches":[178],"such":[179],"full-precision":[183,198],"versions":[184],"spatially":[186],"smoothed":[187],"MUSIC":[188],"discrete":[191],"offgrid":[192],"method,":[193],"well":[195],"SR":[200],"method.":[201]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
