{"id":"https://openalex.org/W3034575458","doi":"https://doi.org/10.1109/sam48682.2020.9104298","title":"2D DOA Estimation for Uniform Rectangular Array With One-bit Measurement","display_name":"2D DOA Estimation for Uniform Rectangular Array With One-bit Measurement","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3034575458","doi":"https://doi.org/10.1109/sam48682.2020.9104298","mag":"3034575458"},"language":"en","primary_location":{"id":"doi:10.1109/sam48682.2020.9104298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5101799218","display_name":"Yang Xiong","orcid":"https://orcid.org/0000-0002-2628-3892"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xiong","raw_affiliation_strings":["School of Electronic and Information, Yangtze University, Jingzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Yangtze University, Jingzhou, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779776","display_name":"Zeyang Li","orcid":"https://orcid.org/0000-0001-6841-5905"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyang Li","raw_affiliation_strings":["School of Electronic and Information, Yangtze University, Jingzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Yangtze University, Jingzhou, China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025764540","display_name":"Fangqing Wen","orcid":"https://orcid.org/0000-0001-6527-4326"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangqing Wen","raw_affiliation_strings":["School of Electronic and Information, Yangtze University, Jingzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Yangtze University, Jingzhou, China","institution_ids":["https://openalex.org/I177739611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177739611"],"apc_list":null,"apc_paid":null,"fwci":0.1643,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.30167345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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":0.9986000061035156,"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/estimator","display_name":"Estimator","score":0.743282675743103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.701911449432373},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6190910339355469},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6171512603759766},{"id":"https://openalex.org/keywords/bit","display_name":"Bit (key)","score":0.58506178855896},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5310559272766113},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4791547656059265},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4262968599796295},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22112572193145752},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16919773817062378},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14534634351730347}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.743282675743103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.701911449432373},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6190910339355469},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6171512603759766},{"id":"https://openalex.org/C117011727","wikidata":"https://www.wikidata.org/wiki/Q1278488","display_name":"Bit (key)","level":2,"score":0.58506178855896},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5310559272766113},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4791547656059265},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4262968599796295},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22112572193145752},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16919773817062378},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14534634351730347},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam48682.2020.9104298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2003733299","https://openalex.org/W2018079095","https://openalex.org/W2119667497","https://openalex.org/W2122548617","https://openalex.org/W2133834334","https://openalex.org/W2150991625","https://openalex.org/W2343288807","https://openalex.org/W2559897227","https://openalex.org/W2609056916","https://openalex.org/W2613949611","https://openalex.org/W2636013260","https://openalex.org/W2800315826","https://openalex.org/W2807791318","https://openalex.org/W2888421750","https://openalex.org/W2892433162","https://openalex.org/W2893104611","https://openalex.org/W2909890640","https://openalex.org/W2964012848","https://openalex.org/W3016102015"],"related_works":["https://openalex.org/W1489099099","https://openalex.org/W2886934452","https://openalex.org/W4382204317","https://openalex.org/W2024369332","https://openalex.org/W1974955043","https://openalex.org/W2128974921","https://openalex.org/W2005200408","https://openalex.org/W2100915163","https://openalex.org/W1989343945","https://openalex.org/W2113817303"],"abstract_inverted_index":{"Direction-of-arrival":[0],"(DOA)":[1],"estimation":[2,15,34],"is":[3,58,84],"an":[4],"interesting":[5],"research":[6],"topic":[7],"with":[8],"various":[9],"applications.":[10],"Existing":[11],"algorithms":[12],"provide":[13],"superior":[14],"performance,":[16],"at":[17],"the":[18,29,45,54,66,89,92],"cost":[19],"of":[20,31,48,53,91],"accurate":[21],"quantified":[22,56],"measurements.":[23,41],"In":[24],"this":[25],"paper,":[26],"we":[27,64],"stress":[28],"problem":[30],"2D":[32],"DOA":[33],"for":[35],"uniform":[36],"rectangular":[37],"array":[38],"using":[39],"one-bit":[40,49,78],"The":[42],"relationship":[43],"between":[44],"covariance":[46],"matrices":[47],"measurement":[50,57],"and":[51],"that":[52],"accurately":[55],"analyzed":[59],"in":[60],"detail,":[61],"from":[62],"which":[63],"find":[65],"existing":[67],"tensor":[68],"algorithm":[69],"can":[70],"be":[71],"directly":[72],"applied.":[73],"As":[74],"a":[75,77],"result,":[76],"parallel":[79],"factor":[80],"analysis":[81],"(PARAFAC)":[82],"estimator":[83],"proposed.":[85],"Simulation":[86],"results":[87],"show":[88],"effectiveness":[90],"proposed":[93],"method.":[94]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
