{"id":"https://openalex.org/W2972377050","doi":"https://doi.org/10.1186/s13634-019-0642-4","title":"A single triangular SS-EMVS aided high-accuracy DOA estimation using a multi-scale L-shaped sparse array","display_name":"A single triangular SS-EMVS aided high-accuracy DOA estimation using a multi-scale L-shaped sparse array","publication_year":2019,"publication_date":"2019-09-11","ids":{"openalex":"https://openalex.org/W2972377050","doi":"https://doi.org/10.1186/s13634-019-0642-4","mag":"2972377050"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-019-0642-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0642-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0642-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0642-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043470995","display_name":"Jin Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Ding","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102966656","display_name":"Minglei Yang","orcid":"https://orcid.org/0000-0002-9637-8088"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minglei Yang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-9637-8088","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046538404","display_name":"Baixiao Chen","orcid":"https://orcid.org/0000-0001-7320-327X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baixiao Chen","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015431603","display_name":"Xin Yuan","orcid":"https://orcid.org/0000-0002-8311-7524"},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Yuan","raw_affiliation_strings":["Nokia Bell Labs, Murray Hill, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs, Murray Hill, USA","institution_ids":["https://openalex.org/I72090969"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043470995"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.5008,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6377209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.6124420762062073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5401591062545776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4847519099712372},{"id":"https://openalex.org/keywords/circular-buffer","display_name":"Circular buffer","score":0.4607269763946533},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.4479774236679077},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.42915576696395874},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3401726186275482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3246528208255768},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3205668032169342},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08170861005783081}],"concepts":[{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.6124420762062073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5401591062545776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4847519099712372},{"id":"https://openalex.org/C85686653","wikidata":"https://www.wikidata.org/wiki/Q1224994","display_name":"Circular buffer","level":2,"score":0.4607269763946533},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.4479774236679077},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.42915576696395874},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3401726186275482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3246528208255768},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3205668032169342},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08170861005783081},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-019-0642-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0642-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0642-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:230ebae7c0e040d390cb49094009f4e7","is_oa":true,"landing_page_url":"https://doaj.org/article/230ebae7c0e040d390cb49094009f4e7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-15 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-019-0642-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0642-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0642-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5631434781","display_name":null,"funder_award_id":"B18039","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G8322910638","display_name":null,"funder_award_id":"61571344","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8879567429","display_name":null,"funder_award_id":"B18039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2972377050.pdf","grobid_xml":"https://content.openalex.org/works/W2972377050.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1968882770","https://openalex.org/W1971511219","https://openalex.org/W1981876595","https://openalex.org/W1992920664","https://openalex.org/W1994851389","https://openalex.org/W1996615360","https://openalex.org/W2032167223","https://openalex.org/W2057532470","https://openalex.org/W2066278925","https://openalex.org/W2077584999","https://openalex.org/W2088724638","https://openalex.org/W2090739327","https://openalex.org/W2092188475","https://openalex.org/W2098174516","https://openalex.org/W2098505267","https://openalex.org/W2101601786","https://openalex.org/W2102005989","https://openalex.org/W2110395783","https://openalex.org/W2118991476","https://openalex.org/W2125063853","https://openalex.org/W2128131274","https://openalex.org/W2133912914","https://openalex.org/W2156307414","https://openalex.org/W2161666352","https://openalex.org/W2164390589","https://openalex.org/W2165194555","https://openalex.org/W2168499745","https://openalex.org/W2171812005","https://openalex.org/W2171992580","https://openalex.org/W2245618043","https://openalex.org/W2247701227","https://openalex.org/W2270049032","https://openalex.org/W2308717554","https://openalex.org/W2583576739","https://openalex.org/W2586735315","https://openalex.org/W2752128027","https://openalex.org/W2752719613","https://openalex.org/W2793408679","https://openalex.org/W2952350176","https://openalex.org/W4234979662","https://openalex.org/W4300765087"],"related_works":["https://openalex.org/W2392041785","https://openalex.org/W3183857160","https://openalex.org/W1981908728","https://openalex.org/W2360539420","https://openalex.org/W2312209294","https://openalex.org/W2807936097","https://openalex.org/W4365146817","https://openalex.org/W2888890149","https://openalex.org/W2392614595","https://openalex.org/W4206635063"],"abstract_inverted_index":{"Abstract":[0],"We":[1],"propose":[2],"a":[3,13,64,79,86,91,107,116,142,152,200],"new":[4],"array":[5,40,75,102,118,208,230,242],"configuration":[6],"composed":[7,84],"of":[8,42,71,85,109,144,158,176,212,222,239],"multi-scale":[9,65],"scalar":[10,28,61,74,170],"arrays":[11,29,46,62,171],"and":[12,35,48,198,215],"single":[14],"triangular":[15],"spatially":[16,87,92],"spread":[17,88,93],"electromagnetic-vector-sensor":[18],"(SS-EMVS)":[19],"for":[20],"high-accuracy":[21,177],"two-dimensional":[22],"(2D)":[23],"direction-of-arrival":[24],"(DOA)":[25],"estimation.":[26],"Two":[27],"are":[30,76,231],"placed":[31],"along":[32],"x":[33],"-axis":[34],"y":[36],"-axis,":[37],"respectively,":[38],"each":[39],"consists":[41],"two":[43,50,60,69,169,174],"uniform":[44],"linear":[45],"(ULAs),":[47],"these":[49,59],"ULAs":[51],"have":[52],"different":[53],"inter-element":[54,97],"spacings.":[55],"In":[56,126],"this":[57,72],"manner,":[58],"form":[63,115],"L-shaped":[66,73],"array.":[67],"The":[68,206],"arms":[70],"connected":[77],"by":[78],"six-component":[80],"SS-EMVS,":[81],"which":[82],"is":[83,188,204],"dipole-triad":[89],"plus":[90],"loop-triad.":[94],"All":[95],"the":[96,110,121,127,134,138,168,185,192,210,220,223,228,237,240],"spacings":[98,225],"in":[99,227],"our":[100],"proposed":[101,128,207,229,241],"can":[103],"be":[104],"larger":[105],"than":[106],"half-wavelength":[108],"incident":[111],"source,":[112],"thus":[113],"to":[114,119,137,140,167,172,190],"sparse":[117],"mitigate":[120],"mutual":[122,217],"coupling":[123],"across":[124],"antennas.":[125],"DOA":[129],"estimation":[130,150,157,187],"algorithm,":[131],"we":[132,154],"perform":[133],"vector-cross-product":[135],"algorithm":[136,166,203],"SS-EMVS":[139],"obtain":[141],"set":[143],"low-accuracy":[145],"but":[146,178,194],"unambiguous":[147],"direction":[148,181],"cosine":[149,182],"as":[151],"reference;":[153],"then":[155],"impose":[156],"signal":[159],"parameters":[160],"via":[161],"rotation":[162],"invariant":[163],"technique":[164],"(ESPRIT)":[165],"get":[173],"sets":[175],"cyclically":[179],"ambiguous":[180,195],"estimations.":[183],"Finally,":[184],"coarse":[186],"used":[189],"disambiguate":[191],"fine":[193],"estimations":[196],"progressively":[197],"therefore":[199],"multiple-order":[201],"disambiguation":[202],"developed.":[205],"enjoys":[209],"superiority":[211],"low":[213,216],"redundancy":[214],"coupling.":[218],"Moreover,":[219],"thresholds":[221],"inter-sensor":[224],"utilized":[226],"also":[232],"analyzed.":[233],"Simulation":[234],"results":[235],"validate":[236],"performance":[238],"geometry.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-17T08:19:37.847499","created_date":"2025-10-10T00:00:00"}