{"id":"https://openalex.org/W2891581847","doi":"https://doi.org/10.23919/icif.2018.8455215","title":"Signal Detection with Elliptically Distributed Observations in Sensor Arrays","display_name":"Signal Detection with Elliptically Distributed Observations in Sensor Arrays","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2891581847","doi":"https://doi.org/10.23919/icif.2018.8455215","mag":"2891581847"},"language":"en","primary_location":{"id":"doi:10.23919/icif.2018.8455215","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2018.8455215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Information Fusion (FUSION)","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/A5100418571","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0003-4114-9074"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Chen","raw_affiliation_strings":["College of Mathematics, Sichuan University, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037310911","display_name":"Mengjiao Tang","orcid":"https://orcid.org/0000-0003-1654-8428"},"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":"Mengjiao Tang","raw_affiliation_strings":["Center for Inf. Eng. Science Research, Xi'an Jiaotong University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Center for Inf. Eng. Science Research, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018461154","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0002-6203-3583"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["College of Mathematics, Sichuan University, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020697198","display_name":"Yao Rong","orcid":"https://orcid.org/0000-0002-3743-713X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Rong","raw_affiliation_strings":["College of Mathematics, Sichuan University, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100418571"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.3691,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64627052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9977999925613403,"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/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.7806371450424194},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.6136241555213928},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5982312560081482},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5946816205978394},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.5588621497154236},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5477317571640015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4640253186225891},{"id":"https://openalex.org/keywords/elliptical-polarization","display_name":"Elliptical polarization","score":0.42657771706581116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41936972737312317},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3938138484954834},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3747303783893585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3327816128730774},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.23307177424430847}],"concepts":[{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.7806371450424194},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.6136241555213928},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5982312560081482},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5946816205978394},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.5588621497154236},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5477317571640015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4640253186225891},{"id":"https://openalex.org/C182693469","wikidata":"https://www.wikidata.org/wiki/Q14953420","display_name":"Elliptical polarization","level":4,"score":0.42657771706581116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41936972737312317},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3938138484954834},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3747303783893585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3327816128730774},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.23307177424430847},{"id":"https://openalex.org/C107190969","wikidata":"https://www.wikidata.org/wiki/Q6553479","display_name":"Linear polarization","level":3,"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/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icif.2018.8455215","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2018.8455215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Information Fusion (FUSION)","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/W1560866723","https://openalex.org/W1592743642","https://openalex.org/W1956130478","https://openalex.org/W1963799790","https://openalex.org/W1965809243","https://openalex.org/W1980455221","https://openalex.org/W1992511687","https://openalex.org/W2008330147","https://openalex.org/W2008631730","https://openalex.org/W2021553162","https://openalex.org/W2106892069","https://openalex.org/W2118880464","https://openalex.org/W2144940556","https://openalex.org/W2160843819","https://openalex.org/W2163852636","https://openalex.org/W2259656359","https://openalex.org/W2405177212","https://openalex.org/W2508393166","https://openalex.org/W3103263186"],"related_works":["https://openalex.org/W4224267143","https://openalex.org/W2015465174","https://openalex.org/W2408444874","https://openalex.org/W2155293550","https://openalex.org/W1966599233","https://openalex.org/W2123226256","https://openalex.org/W2542257450","https://openalex.org/W3216095215","https://openalex.org/W2410205299","https://openalex.org/W1968998224"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,34,71],"detecting":[3],"unknown":[4],"signals":[5,41],"using":[6],"the":[7,31,35,39,43,47,57,69,72],"observations":[8],"received":[9,36,40],"from":[10],"an":[11],"array":[12],"system":[13],"with":[14],"or":[15],"without":[16],"perfectly":[17],"calibrated":[18],"sensors":[19],"is":[20,23],"addressed.":[21],"It":[22],"formulated":[24],"as":[25],"a":[26],"statistical":[27],"hypothesis":[28],"testing":[29],"on":[30],"covariance":[32],"structure":[33],"signal.":[37],"For":[38],"following":[42],"elliptically":[44],"symmetric":[45],"distributions,":[46],"generalized":[48],"likelihood":[49],"ratio":[50],"test":[51],"(GLRT)":[52],"statistics":[53],"are":[54,64],"derived.":[55],"Specially,":[56],"GLRT":[58],"detectors":[59],"for":[60],"uniform":[61],"linear":[62],"arrays":[63],"provided.":[65],"Numerical":[66],"experiments":[67],"show":[68],"effectiveness":[70],"proposed":[73],"detectors.":[74]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}