{"id":"https://openalex.org/W2075359914","doi":"https://doi.org/10.1109/ssp.2012.6319690","title":"Correlated observations in distributed detection systems","display_name":"Correlated observations in distributed detection systems","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2075359914","doi":"https://doi.org/10.1109/ssp.2012.6319690","mag":"2075359914"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2012.6319690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","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/A5079591646","display_name":"H. Ahmadi","orcid":"https://orcid.org/0000-0002-2879-9892"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hamid R. Ahmadi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Rochester, NY, USA","Department of Electrical and Computer Engineering, University of Rochester, NY 14627, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, NY 14627, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090323125","display_name":"Azadeh Vosoughi","orcid":"https://orcid.org/0000-0002-1937-2838"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azadeh Vosoughi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Rochester, NY, USA","Department of Electrical and Computer Engineering, University of Rochester, NY 14627, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, NY 14627, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079591646"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16704859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"312"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9941999912261963,"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"}},{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.7427514791488647},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.6541421413421631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6179400682449341},{"id":"https://openalex.org/keywords/phase-shift-keying","display_name":"Phase-shift keying","score":0.602523684501648},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5944673418998718},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5815699696540833},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5542367696762085},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5497770309448242},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5220551490783691},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.5142318606376648},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5039369463920593},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.49316686391830444},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.45400500297546387},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.450018048286438},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.43573832511901855},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.43044915795326233},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.41497549414634705},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.32840174436569214},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.30030855536460876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.232235848903656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2199265956878662},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.20031115412712097},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18756461143493652},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.16495656967163086},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16165444254875183},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.15843814611434937},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.15094685554504395}],"concepts":[{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.7427514791488647},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.6541421413421631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6179400682449341},{"id":"https://openalex.org/C186378180","wikidata":"https://www.wikidata.org/wiki/Q4874866","display_name":"Phase-shift keying","level":4,"score":0.602523684501648},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5944673418998718},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5815699696540833},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5542367696762085},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5497770309448242},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5220551490783691},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.5142318606376648},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5039369463920593},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.49316686391830444},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.45400500297546387},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.450018048286438},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.43573832511901855},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.43044915795326233},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.41497549414634705},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.32840174436569214},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.30030855536460876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.232235848903656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2199265956878662},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.20031115412712097},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18756461143493652},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.16495656967163086},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16165444254875183},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.15843814611434937},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.15094685554504395},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2012.6319690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2107441100","https://openalex.org/W2116939452","https://openalex.org/W2134931138","https://openalex.org/W2140452629","https://openalex.org/W2145219650","https://openalex.org/W2165202277","https://openalex.org/W3128947043","https://openalex.org/W4302078450"],"related_works":["https://openalex.org/W2146473084","https://openalex.org/W2526746481","https://openalex.org/W1981270958","https://openalex.org/W2010769618","https://openalex.org/W2099812103","https://openalex.org/W2055927355","https://openalex.org/W1911817635","https://openalex.org/W2073378780","https://openalex.org/W2353656796","https://openalex.org/W2011915004"],"abstract_inverted_index":{"We":[0],"consider":[1],"parallel":[2],"binary":[3,16],"distributed":[4],"detection":[5],"in":[6,11],"a":[7,48,80],"wireless":[8,122],"sensor":[9],"network,":[10],"which":[12,116],"sensors":[13],"send":[14],"their":[15],"phase":[17],"shift":[18],"keying":[19],"(PSK)":[20],"modulated":[21],"decisions":[22],"to":[23,34],"the":[24,45,63,92,112,119],"fusion":[25,82,114],"center":[26],"(FC)":[27],"over":[28],"communication":[29,123],"channels,":[30],"that":[31,84,103],"are":[32,58],"subject":[33],"Rayleigh":[35],"fading":[36],"and":[37,94],"noise.":[38],"The":[39],"FC":[40,93],"is":[41,54],"tasked":[42],"with":[43],"detecting":[44],"presence":[46],"of":[47,62,88,121],"Gaussian":[49,68],"signal":[50,64],"source.":[51],"When":[52],"it":[53],"present,":[55],"sensors'":[56],"observations":[57],"spatially":[59],"correlated":[60],"samples":[61],"source,":[65],"corrupted":[66],"by":[67],"noises.":[69],"Using":[70],"identical":[71],"energy":[72],"detectors":[73],"as":[74],"local":[75],"decision":[76],"rules,":[77],"we":[78],"derive":[79],"linear":[81,113],"rule":[83,110,115],"combines":[85,118],"likelihood":[86],"ratios":[87],"received":[89],"signals":[90],"at":[91,104],"maximizes":[95],"modified":[96],"deflection":[97],"coefficient.":[98],"Our":[99],"numerical":[100],"results":[101],"show":[102],"high":[105],"signal-to-noise":[106],"(SNR)":[107],"regime,":[108],"this":[109],"outperforms":[111],"only":[117],"outputs":[120],"channels.":[124]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
