{"id":"https://openalex.org/W4385688940","doi":"https://doi.org/10.1109/ssp53291.2023.10207996","title":"Nonasymptotic Analysis of Direct-Augmentation ESPRIT for Localization of More Sources Than Sensors Using Sparse Arrays","display_name":"Nonasymptotic Analysis of Direct-Augmentation ESPRIT for Localization of More Sources Than Sensors Using Sparse Arrays","publication_year":2023,"publication_date":"2023-07-02","ids":{"openalex":"https://openalex.org/W4385688940","doi":"https://doi.org/10.1109/ssp53291.2023.10207996"},"language":"en","primary_location":{"id":"doi:10.1109/ssp53291.2023.10207996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssp53291.2023.10207996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Statistical Signal Processing Workshop (SSP)","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/A5082539585","display_name":"Zai Yang","orcid":"https://orcid.org/0000-0002-9502-5176"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zai Yang","raw_affiliation_strings":["Xi’an Jiaotong University,School of Mathematics and Statistics,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Mathematics and Statistics,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103200101","display_name":"Kaijie Wang","orcid":"https://orcid.org/0009-0000-4207-8250"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaijie Wang","raw_affiliation_strings":["Xi’an Jiaotong University,School of Mathematics and Statistics,Xi’an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,School of Mathematics and Statistics,Xi’an,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.2417,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41541706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"48","issue":null,"first_page":"463","last_page":"467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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/uncorrelated","display_name":"Uncorrelated","score":0.8912802934646606},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7660853862762451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5967234969139099},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.519640326499939},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4632619023323059},{"id":"https://openalex.org/keywords/carry","display_name":"Carry (investment)","score":0.41317445039749146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3396036624908447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33941054344177246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3374320864677429},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17198285460472107}],"concepts":[{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.8912802934646606},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7660853862762451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5967234969139099},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.519640326499939},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4632619023323059},{"id":"https://openalex.org/C2776299755","wikidata":"https://www.wikidata.org/wiki/Q432449","display_name":"Carry (investment)","level":2,"score":0.41317445039749146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3396036624908447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33941054344177246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3374320864677429},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17198285460472107},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp53291.2023.10207996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssp53291.2023.10207996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1831233010","https://openalex.org/W1970377488","https://openalex.org/W1978318660","https://openalex.org/W1985041550","https://openalex.org/W1987415890","https://openalex.org/W1993770090","https://openalex.org/W1998435731","https://openalex.org/W2006365168","https://openalex.org/W2018744547","https://openalex.org/W2019945856","https://openalex.org/W2033332370","https://openalex.org/W2038080577","https://openalex.org/W2055838441","https://openalex.org/W2055849441","https://openalex.org/W2098174516","https://openalex.org/W2115141757","https://openalex.org/W2116414176","https://openalex.org/W2118693125","https://openalex.org/W2157445035","https://openalex.org/W2161666352","https://openalex.org/W2164390589","https://openalex.org/W2342925881","https://openalex.org/W2357400875","https://openalex.org/W2520654459","https://openalex.org/W2565293665","https://openalex.org/W2892433162","https://openalex.org/W2912099989","https://openalex.org/W2963258211","https://openalex.org/W2964106337","https://openalex.org/W2975855329","https://openalex.org/W3006973358","https://openalex.org/W3111358795","https://openalex.org/W4251617456","https://openalex.org/W4292259512","https://openalex.org/W4294643313","https://openalex.org/W4379116751","https://openalex.org/W4386902770","https://openalex.org/W6809882432","https://openalex.org/W6849817111"],"related_works":["https://openalex.org/W2360779366","https://openalex.org/W1980381208","https://openalex.org/W4229867111","https://openalex.org/W1488770949","https://openalex.org/W1995027010","https://openalex.org/W2793180915","https://openalex.org/W2386495035","https://openalex.org/W1582047458","https://openalex.org/W2144722454","https://openalex.org/W2024870084"],"abstract_inverted_index":{"Direction":[0],"augmentation":[1],"(DA),":[2],"followed":[3],"by":[4],"a":[5,14,27,38,87],"subspace":[6],"method":[7],"such":[8],"as":[9],"MUSIC":[10],"or":[11],"ESPRIT,":[12],"is":[13,75],"successful":[15],"approach":[16],"that":[17,54],"enables":[18],"localization":[19],"of":[20,42,73],"more":[21,55],"uncorrelated":[22,56],"sources":[23,57],"than":[24,58,77],"sensors":[25,59],"with":[26,48,62],"proper":[28],"sparse":[29],"linear":[30],"array.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"carry":[36],"out":[37],"nonasymptotic":[39],"performance":[40],"analysis":[41,103],"DA-ESPRIT":[43,69],"in":[44],"the":[45,71],"practical":[46],"scenario":[47],"finitely":[49],"many":[50],"snapshots.":[51],"We":[52],"show":[53],"are":[60,104],"guaranteed,":[61],"overwhelming":[63],"probability,":[64],"to":[65],"be":[66],"localized":[67],"using":[68],"if":[70],"number":[72],"snapshots":[74],"greater":[76],"an":[78],"explicit,":[79],"problem-dependent":[80],"threshold.":[81],"Our":[82],"result":[83],"does":[84],"not":[85],"require":[86],"fixed":[88],"source":[89],"separation":[90],"condition,":[91],"which":[92],"makes":[93],"it":[94],"unique":[95],"among":[96],"existing":[97],"results.":[98],"Numerical":[99],"results":[100],"corroborating":[101],"our":[102],"provided.":[105]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}