{"id":"https://openalex.org/W2107600021","doi":"https://doi.org/10.1109/lsp.2015.2480426","title":"Sensitivity Analysis of Likelihood Ratio Test in $K$ Distributed and/or Gaussian Noise","display_name":"Sensitivity Analysis of Likelihood Ratio Test in $K$ Distributed and/or Gaussian Noise","publication_year":2015,"publication_date":"2015-09-22","ids":{"openalex":"https://openalex.org/W2107600021","doi":"https://doi.org/10.1109/lsp.2015.2480426","mag":"2107600021"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2015.2480426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2480426","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5040395588","display_name":"Olivier Besson","orcid":"https://orcid.org/0000-0001-6079-8446"},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Besson","raw_affiliation_strings":["Department Electronics Optronics Signal, University of Toulouse, ISAE-Supa\u00e9ro, Toulouse, France","Department Electronics Optronics Signal, University of Toulouse, ISAE-Supaero, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Electronics Optronics Signal, University of Toulouse, ISAE-Supa\u00e9ro, Toulouse, France","institution_ids":["https://openalex.org/I17866349"]},{"raw_affiliation_string":"Department Electronics Optronics Signal, University of Toulouse, ISAE-Supaero, Toulouse, France","institution_ids":["https://openalex.org/I17866349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112005763","display_name":"Yuri I. Abramovich","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuri Abramovich","raw_affiliation_strings":["W R Systems, Ltd., Fairfax, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"W R Systems, Ltd., Fairfax, VA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.4938,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86785453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"22","issue":"12","first_page":"2329","last_page":"2333"},"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":0.9975000023841858,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9915000200271606,"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/gaussian-noise","display_name":"Gaussian noise","score":0.7643170952796936},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6941291689872742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.506147563457489},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.4958852231502533},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4808133840560913},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4787929952144623},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46563851833343506},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.4512389004230499},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4375017285346985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3860432803630829},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32491469383239746},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.28702253103256226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2634297013282776},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13338622450828552},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.07568246126174927}],"concepts":[{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.7643170952796936},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6941291689872742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.506147563457489},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.4958852231502533},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4808133840560913},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4787929952144623},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46563851833343506},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.4512389004230499},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4375017285346985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3860432803630829},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32491469383239746},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.28702253103256226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2634297013282776},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13338622450828552},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.07568246126174927},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2015.2480426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2480426","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W604181985","https://openalex.org/W1529709906","https://openalex.org/W1879263465","https://openalex.org/W1966397731","https://openalex.org/W1990208398","https://openalex.org/W2004681226","https://openalex.org/W2007174457","https://openalex.org/W2009349883","https://openalex.org/W2017859626","https://openalex.org/W2020577112","https://openalex.org/W2030666620","https://openalex.org/W2066762715","https://openalex.org/W2097977627","https://openalex.org/W2102213230","https://openalex.org/W2106199973","https://openalex.org/W2109018101","https://openalex.org/W2117454350","https://openalex.org/W2125015779","https://openalex.org/W2169663230","https://openalex.org/W3119264854","https://openalex.org/W4242597235","https://openalex.org/W4302769200"],"related_works":["https://openalex.org/W2966151833","https://openalex.org/W2012141031","https://openalex.org/W2986378528","https://openalex.org/W3178345791","https://openalex.org/W1550854977","https://openalex.org/W2104851575","https://openalex.org/W2092661960","https://openalex.org/W4231055618","https://openalex.org/W2949211747","https://openalex.org/W3005742472"],"abstract_inverted_index":{"In":[0,70],"a":[1,10,79,85,129],"recent":[2],"letter":[3],"we":[4,74,96,106],"addressed":[5],"the":[6,28,31,38,43,47,54,71,98],"problem":[7],"of":[8,30,46,87,100],"detecting":[9],"fluctuating":[11],"target":[12],"in":[13,84,116],"K":[14,88,117],"distributed":[15,89,118],"noise":[16,58,66,119,123],"using":[17],"multiple":[18],"coherent":[19],"processing":[20],"intervals.":[21],"It":[22],"was":[23],"shown":[24],"through":[25],"simulations":[26],"that":[27,110],"performance":[29,115],"likelihood":[32],"ratio":[33,59],"test":[34],"is":[35,60,131],"dominated":[36],"by":[37],"snapshot":[39,53],"which":[40],"corresponds":[41],"to":[42,56,81,112,128],"minimal":[44],"value":[45],"texture.":[48],"However,":[49],"for":[50],"this":[51,94],"particular":[52],"clutter":[55],"thermal":[57,65],"not":[61],"large":[62],"and":[63,90],"hence":[64],"cannot":[67],"be":[68],"neglected.":[69],"present":[72],"letter,":[73],"continue":[75],"our":[76,101],"investigation":[77],"with":[78],"view":[80],"consider":[82],"detection":[83],"mixture":[86,130],"Gaussian":[91,122],"noise.":[92],"Towards":[93],"end":[95],"study":[97],"sensitivity":[99],"previously":[102],"derived":[103],"detectors.":[104],"First,":[105],"provide":[107],"stochastic":[108],"representations":[109],"allow":[111],"evaluate":[113],"their":[114,126],"only":[120],"or":[121],"only.":[124],"Then,":[125],"robustness":[127],"assessed.":[132]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2016-06-24T00:00:00"}