{"id":"https://openalex.org/W6959780130","doi":"https://doi.org/10.1007/s11432-024-4422-3","title":"Bayesian Rao test for distributed target detection in interference and noise with limited training data","display_name":"Bayesian Rao test for distributed target detection in interference and noise with limited training data","publication_year":2025,"publication_date":"2025-09-26","ids":{"openalex":"https://openalex.org/W6959780130","doi":"https://doi.org/10.1007/s11432-024-4422-3"},"language":"en","primary_location":{"id":"doi:10.1007/s11432-024-4422-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11432-024-4422-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210218743","display_name":"Science China Information Sciences","issn_l":"1674-733X","issn":["1674-733X","1869-1919"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science China Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2504.13235","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Daipeng Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134970","display_name":"Wuhan Branch of the National Science Library","ror":"https://ror.org/046n0zq43","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210134970","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daipeng Xiao","raw_affiliation_strings":["Wuhan Electronic Information Institute, Wuhan, 430019, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Electronic Information Institute, Wuhan, 430019, China","institution_ids":["https://openalex.org/I4210134970"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weijian Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134970","display_name":"Wuhan Branch of the National Science Library","ror":"https://ror.org/046n0zq43","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210134970","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijian Liu","raw_affiliation_strings":["Wuhan Electronic Information Institute, Wuhan, 430019, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Electronic Information Institute, Wuhan, 430019, China","institution_ids":["https://openalex.org/I4210134970"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jun Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, 230027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, 230027, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuntao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntao Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qinglei Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134970","display_name":"Wuhan Branch of the National Science Library","ror":"https://ror.org/046n0zq43","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210134970","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglei Du","raw_affiliation_strings":["Wuhan Electronic Information Institute, Wuhan, 430019, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Electronic Information Institute, Wuhan, 430019, China","institution_ids":["https://openalex.org/I4210134970"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaoqiang Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Hua","raw_affiliation_strings":["College of Electronic Science, National University of Defense Technology, Changsha, 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Science, National University of Defense Technology, Changsha, 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210134970"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":15.2091,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.99188416,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"69","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10733","display_name":"Wheat and Barley Genetics and Pathology","score":0.6758000254631042,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10733","display_name":"Wheat and Barley Genetics and Pathology","score":0.6758000254631042,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11229","display_name":"Genetics and Plant Breeding","score":0.034699998795986176,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10434","display_name":"Chromosomal and Genetic Variations","score":0.023900000378489494,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6428999900817871},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6366999745368958},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6211000084877014},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6111999750137329},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5587999820709229},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5548999905586243},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5547999739646912},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.47450000047683716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46320000290870667}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6428999900817871},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6366999745368958},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6211000084877014},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6111999750137329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752999782562256},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5587999820709229},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5548999905586243},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5547999739646912},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46880000829696655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44519999623298645},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.4401000142097473},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4138000011444092},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.40689998865127563},{"id":"https://openalex.org/C40851411","wikidata":"https://www.wikidata.org/wiki/Q3258368","display_name":"Inverse-Wishart distribution","level":4,"score":0.4050999879837036},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.3903000056743622},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34470000863075256},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.323199987411499},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.313400000333786},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3012999892234802},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.3001999855041504},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.2831999957561493},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27570000290870667},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.26249998807907104},{"id":"https://openalex.org/C201080289","wikidata":"https://www.wikidata.org/wiki/Q5156587","display_name":"Complex normal distribution","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11432-024-4422-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11432-024-4422-3","pdf_url":null,"source":{"id":"https://openalex.org/S4210218743","display_name":"Science China Information Sciences","issn_l":"1674-733X","issn":["1674-733X","1869-1919"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science China Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2504.13235","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.13235","pdf_url":"https://arxiv.org/pdf/2504.13235","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2504.13235","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.13235","pdf_url":"https://arxiv.org/pdf/2504.13235","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1504068501","https://openalex.org/W1976044906","https://openalex.org/W1984614739","https://openalex.org/W1986921156","https://openalex.org/W2016079660","https://openalex.org/W2076567897","https://openalex.org/W2102649267","https://openalex.org/W2104076888","https://openalex.org/W2106999806","https://openalex.org/W2107470042","https://openalex.org/W2114118063","https://openalex.org/W2116350787","https://openalex.org/W2126528280","https://openalex.org/W2127675963","https://openalex.org/W2130573040","https://openalex.org/W2141319003","https://openalex.org/W2144158572","https://openalex.org/W2152071579","https://openalex.org/W2153470460","https://openalex.org/W2216383272","https://openalex.org/W2490621714","https://openalex.org/W2558195025","https://openalex.org/W2572701941","https://openalex.org/W2899663635","https://openalex.org/W2921542497","https://openalex.org/W2975079793","https://openalex.org/W2996960563","https://openalex.org/W3012503967","https://openalex.org/W3126357218","https://openalex.org/W3210857239","https://openalex.org/W4313159713","https://openalex.org/W4367674189","https://openalex.org/W4382364481","https://openalex.org/W4400408199"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
