{"id":"https://openalex.org/W3084732853","doi":"https://doi.org/10.1145/3408127.3408144","title":"Manifold Separation Based DOA Estimation Using Fourth-order Cumulant","display_name":"Manifold Separation Based DOA Estimation Using Fourth-order Cumulant","publication_year":2020,"publication_date":"2020-06-19","ids":{"openalex":"https://openalex.org/W3084732853","doi":"https://doi.org/10.1145/3408127.3408144","mag":"3084732853"},"language":"en","primary_location":{"id":"doi:10.1145/3408127.3408144","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3408127.3408144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","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/A5046374803","display_name":"Yaxing Yue","orcid":"https://orcid.org/0000-0003-1005-2923"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaxing Yue","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032681108","display_name":"Yougen Xu","orcid":"https://orcid.org/0000-0003-4751-6736"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yougen Xu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100628019","display_name":"Zhiwen Liu","orcid":"https://orcid.org/0000-0002-0743-4237"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Liu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046374803"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.1528,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.44217598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"218","last_page":"222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation 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/T11447","display_name":"Blind Source Separation 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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9997000098228455,"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/cumulant","display_name":"Cumulant","score":0.8292102813720703},{"id":"https://openalex.org/keywords/higher-order-statistics","display_name":"Higher-order statistics","score":0.6867527961730957},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.562671959400177},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.561665415763855},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.5351508259773254},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5077117681503296},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.49058833718299866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4722774922847748},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.459620863199234},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4490549862384796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4457978904247284},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.43763267993927},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3466039299964905},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2766934037208557},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.23793405294418335},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.157512366771698},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13642150163650513},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11313101649284363},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08174991607666016}],"concepts":[{"id":"https://openalex.org/C172686274","wikidata":"https://www.wikidata.org/wiki/Q746007","display_name":"Cumulant","level":2,"score":0.8292102813720703},{"id":"https://openalex.org/C2780576426","wikidata":"https://www.wikidata.org/wiki/Q5757980","display_name":"Higher-order statistics","level":4,"score":0.6867527961730957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.562671959400177},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.561665415763855},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5351508259773254},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5077117681503296},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.49058833718299866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4722774922847748},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.459620863199234},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4490549862384796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4457978904247284},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.43763267993927},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3466039299964905},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2766934037208557},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.23793405294418335},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.157512366771698},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13642150163650513},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11313101649284363},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08174991607666016},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/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:10.1145/3408127.3408144","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3408127.3408144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","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":24,"referenced_works":["https://openalex.org/W1983699108","https://openalex.org/W2019364610","https://openalex.org/W2097610668","https://openalex.org/W2104313426","https://openalex.org/W2116111282","https://openalex.org/W2123879611","https://openalex.org/W2126063006","https://openalex.org/W2126700042","https://openalex.org/W2136215626","https://openalex.org/W2140352766","https://openalex.org/W2145781767","https://openalex.org/W2146903740","https://openalex.org/W2148372454","https://openalex.org/W2163246442","https://openalex.org/W2164839777","https://openalex.org/W2170778725","https://openalex.org/W2171252030","https://openalex.org/W2335128326","https://openalex.org/W2545850961","https://openalex.org/W2549132971","https://openalex.org/W2619680048","https://openalex.org/W2793210562","https://openalex.org/W2808877281","https://openalex.org/W2859755114"],"related_works":["https://openalex.org/W2907162295","https://openalex.org/W2003857655","https://openalex.org/W2543302838","https://openalex.org/W2144304265","https://openalex.org/W1956865565","https://openalex.org/W2026563148","https://openalex.org/W2162241048","https://openalex.org/W2115014067","https://openalex.org/W2403892550","https://openalex.org/W2317854626"],"abstract_inverted_index":{"Direction-of-arrival":[0],"estimation":[1],"of":[2,17,60],"non-Gaussian":[3],"signals":[4],"is":[5,49],"studied":[6],"in":[7],"this":[8],"paper":[9],"by":[10],"incorporating":[11],"fourth-order":[12,21],"cumulant":[13,22],"with":[14],"an":[15],"array":[16],"arbitrary":[18],"configurations.":[19],"The":[20,31,45],"based":[23,38],"closed":[24],"form":[25],"polynomial":[26],"coefficients":[27],"have":[28],"been":[29],"provided.":[30],"corresponding":[32],"higher-order":[33],"(more":[34],"than":[35],"fourth-order)":[36],"statistics":[37],"method":[39],"can":[40],"also":[41,50],"be":[42],"derived":[43],"similarly.":[44],"computational":[46],"complexity":[47],"analysis":[48],"given.":[51],"Simulation":[52],"results":[53],"are":[54],"included":[55],"to":[56],"illustrate":[57],"the":[58,61],"performance":[59],"proposed":[62],"method.":[63]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
