{"id":"https://openalex.org/W4312864097","doi":"https://doi.org/10.1109/icspcc55723.2022.9984576","title":"Performance analysis of a new two-stage tunable detector","display_name":"Performance analysis of a new two-stage tunable detector","publication_year":2022,"publication_date":"2022-10-25","ids":{"openalex":"https://openalex.org/W4312864097","doi":"https://doi.org/10.1109/icspcc55723.2022.9984576"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc55723.2022.9984576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc55723.2022.9984576","pdf_url":null,"source":{"id":"https://openalex.org/S4363608295","display_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5100759070","display_name":"Dongsheng Zhu","orcid":"https://orcid.org/0009-0009-6321-7227"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Zhu","raw_affiliation_strings":["Institute of Acoustics,Chinese Academy of Sciences,Beijing,China,100190"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Acoustics,Chinese Academy of Sciences,Beijing,China,100190","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026577651","display_name":"Da Xu","orcid":"https://orcid.org/0000-0002-8522-0816"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Xu","raw_affiliation_strings":["Institute of Acoustics,Chinese Academy of Sciences,Beijing,China,100190"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Acoustics,Chinese Academy of Sciences,Beijing,China,100190","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071826087","display_name":"Xiaojing Su","orcid":"https://orcid.org/0000-0001-9555-0969"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojing Su","raw_affiliation_strings":["Institute of Acoustics,Chinese Academy of Sciences,Beijing,China,100190"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Acoustics,Chinese Academy of Sciences,Beijing,China,100190","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29647218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9961000084877014,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/detector","display_name":"Detector","score":0.9310412406921387},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.7072277665138245},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6048482656478882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5447491407394409},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5031613707542419},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49205106496810913},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.4798997640609741},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.46189701557159424},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4438718557357788},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.43414920568466187},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42782413959503174},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4143308401107788},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34747397899627686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3226724863052368},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28862589597702026},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27440112829208374},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2222507894039154},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15172943472862244}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.9310412406921387},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.7072277665138245},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6048482656478882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5447491407394409},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5031613707542419},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49205106496810913},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.4798997640609741},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.46189701557159424},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4438718557357788},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.43414920568466187},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42782413959503174},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4143308401107788},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34747397899627686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3226724863052368},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28862589597702026},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27440112829208374},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2222507894039154},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15172943472862244},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc55723.2022.9984576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc55723.2022.9984576","pdf_url":null,"source":{"id":"https://openalex.org/S4363608295","display_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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":13,"referenced_works":["https://openalex.org/W1486231176","https://openalex.org/W1986921156","https://openalex.org/W2039882402","https://openalex.org/W2065607385","https://openalex.org/W2103148898","https://openalex.org/W2106999806","https://openalex.org/W2135430906","https://openalex.org/W2144158572","https://openalex.org/W2152451050","https://openalex.org/W2159511596","https://openalex.org/W2161632739","https://openalex.org/W3142389752","https://openalex.org/W4299448626"],"related_works":["https://openalex.org/W1983393909","https://openalex.org/W2171996685","https://openalex.org/W3162625494","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2971420665","https://openalex.org/W2132174924","https://openalex.org/W2349411638","https://openalex.org/W2388242297","https://openalex.org/W2532958441"],"abstract_inverted_index":{"This":[0],"study":[1],"focuses":[2],"on":[3],"the":[4,31,39,43,57,64,80,89,95],"construction":[5],"of":[6,45,66,91,97],"a":[7,98],"two-stage":[8],"detector":[9,21,26,82],"for":[10,42,102],"homogeneous":[11],"Gaussian":[12],"noise":[13],"with":[14],"an":[15,23],"unknown":[16],"covariance":[17],"matrix.":[18],"A":[19],"Durbin":[20],"and":[22,48,68],"Enhanced":[24],"RAO":[25],"are":[27,35],"cascaded":[28],"to":[29,37],"design":[30],"proposed":[32,81],"detector.":[33],"Analyses":[34],"used":[36],"establish":[38],"analytical":[40],"expression":[41],"probability":[44],"false":[46],"alarm":[47],"detection.":[49],"The":[50,76],"new":[51],"detector's":[52],"performance":[53,62],"is":[54],"evaluated":[55],"during":[56],"analysis":[58],"stage.":[59],"To":[60],"compare":[61],"in":[63,88],"situations":[65],"matched":[67],"mismatched":[69,92],"signals,":[70],"many":[71],"classical":[72],"detectors":[73],"were":[74],"employed.":[75],"results":[77],"suggest":[78],"that":[79],"can":[83],"offer":[84],"improved":[85],"rejection":[86],"capabilities":[87],"case":[90],"signals":[93],"at":[94],"expense":[96],"little":[99],"detection":[100],"loss":[101],"matching":[103],"signals.":[104]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}