{"id":"https://openalex.org/W2901053710","doi":"https://doi.org/10.1109/access.2018.2881258","title":"Highly Accurate Two-Dimensional Direction Finding Using Cumulant","display_name":"Highly Accurate Two-Dimensional Direction Finding Using Cumulant","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2901053710","doi":"https://doi.org/10.1109/access.2018.2881258","mag":"2901053710"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2881258","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2881258","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101671530","display_name":"Chen Gu","orcid":"https://orcid.org/0000-0001-7329-4554"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"funder","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gu","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064895652","display_name":"Hong Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"funder","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Hong","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101952197","display_name":"Xiaohua Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"funder","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Zhu","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047358306","display_name":"Jin He","orcid":"https://orcid.org/0000-0001-6929-6354"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin He","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Sensing and Recognition, School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.465,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.503581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":77},"biblio":{"volume":"6","issue":null,"first_page":"70910","last_page":"70918"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9999,"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":0.9999,"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":0.9994,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9989,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/direction-cosine","display_name":"Direction cosine","score":0.6143341},{"id":"https://openalex.org/keywords/cumulant","display_name":"Cumulant","score":0.5902592},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.56041896},{"id":"https://openalex.org/keywords/aperture","display_name":"Aperture (computer memory)","score":0.50713444},{"id":"https://openalex.org/keywords/direction-finding","display_name":"Direction finding","score":0.47704095}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.65803516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147417},{"id":"https://openalex.org/C9578719","wikidata":"https://www.wikidata.org/wiki/Q2518906","display_name":"Direction cosine","level":2,"score":0.6143341},{"id":"https://openalex.org/C172686274","wikidata":"https://www.wikidata.org/wiki/Q746007","display_name":"Cumulant","level":2,"score":0.5902592},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.56041896},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.54142565},{"id":"https://openalex.org/C14103023","wikidata":"https://www.wikidata.org/wiki/Q11681459","display_name":"Pairing","level":3,"score":0.5281612},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.50713444},{"id":"https://openalex.org/C2780382809","wikidata":"https://www.wikidata.org/wiki/Q1367488","display_name":"Direction finding","level":3,"score":0.47704095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2850718},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.27217585},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17350963},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15258917},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14869285},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07782075},{"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/C54101563","wikidata":"https://www.wikidata.org/wiki/Q124131","display_name":"Superconductivity","level":2,"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2881258","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/335f23804e8542cda4e2d239bddf2433","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":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2881258","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"81601568"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61771302"}],"datasets":[],"versions":[],"referenced_works_count":35,"referenced_works":["https://openalex.org/W1612070130","https://openalex.org/W1943499229","https://openalex.org/W1999170002","https://openalex.org/W2000215628","https://openalex.org/W2029895441","https://openalex.org/W2035117689","https://openalex.org/W2057503509","https://openalex.org/W2069831593","https://openalex.org/W2070222581","https://openalex.org/W2081724471","https://openalex.org/W2097990304","https://openalex.org/W2101641981","https://openalex.org/W2101938076","https://openalex.org/W2107849977","https://openalex.org/W2111018862","https://openalex.org/W2113638573","https://openalex.org/W2117523044","https://openalex.org/W2119598131","https://openalex.org/W2120998230","https://openalex.org/W2121739212","https://openalex.org/W2123879611","https://openalex.org/W2126063006","https://openalex.org/W2126700042","https://openalex.org/W2128131274","https://openalex.org/W2130601302","https://openalex.org/W2131375467","https://openalex.org/W2136023375","https://openalex.org/W2139476411","https://openalex.org/W2150529197","https://openalex.org/W2168837636","https://openalex.org/W2313359813","https://openalex.org/W2463487343","https://openalex.org/W2795830996","https://openalex.org/W2883199246","https://openalex.org/W2963784132"],"related_works":["https://openalex.org/W4376608380","https://openalex.org/W2392614595","https://openalex.org/W2387402109","https://openalex.org/W2362095766","https://openalex.org/W2351060036","https://openalex.org/W2350671615","https://openalex.org/W2170762581","https://openalex.org/W1961114957","https://openalex.org/W1643567401","https://openalex.org/W1612070130"],"abstract_inverted_index":{"This":[0,16],"paper":[1],"proposes":[2],"a":[3,26],"new":[4,17],"two-dimensional":[5,60],"direction":[6,45],"finding":[7],"algorithm":[8],"for":[9],"estimating":[10],"multiple":[11],"non-Gaussian":[12],"signals":[13,92],"using":[14,51],"cumulants.":[15],"algorithm:":[18],"1)":[19],"employs":[20],"an":[21,94],"array":[22,68,74,95],"geometry":[23],"consisting":[24],"of":[25,96,109],"nine-element":[27],"non-uniformly":[28],"spaced":[29],"cross-shaped":[30],"sub-array":[31],"plus":[32],"another":[33],"arbitrarily-spaced":[34],"sub-array;":[35],"2)":[36],"defines":[37],"five":[38],"cumulant":[39],"matrices,":[40],"from":[41],"which":[42],"the":[43,107,110],"signal":[44],"cosines":[46],"can":[47,66,87],"be":[48],"estimated":[49],"by":[50,71],"parallel":[52],"factor":[53],"fitting,":[54],"and":[55,62,77,85],"hence,":[56],"requiring":[57],"no":[58],"open-form":[59],"searching":[61],"parameter":[63],"pairing;":[64],"3)":[65],"achieve":[67],"aperture":[69,76],"extension":[70],"jointly":[72],"extending":[73],"physical":[75],"constructing":[78],"virtual":[79],"sensors,":[80],"without":[81],"adding":[82],"more":[83],"sensors;":[84],"4)":[86,91],"resolve":[88],"2(L":[89],"-":[90],"with":[93],"L":[97],"sensors":[98],"in":[99],"total.":[100],"Simulation":[101],"results":[102],"are":[103],"presented":[104],"to":[105],"verify":[106],"efficacy":[108],"proposed":[111],"algorithm.":[112]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2901053710","counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-04-15T17:57:49.858642","created_date":"2018-11-29"}