{"id":"https://openalex.org/W2080662948","doi":"https://doi.org/10.1109/vtcspring.2013.6692701","title":"Performance Evaluation of Energy Detection for Correlated Random Signals","display_name":"Performance Evaluation of Energy Detection for Correlated Random Signals","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2080662948","doi":"https://doi.org/10.1109/vtcspring.2013.6692701","mag":"2080662948"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2013.6692701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2013.6692701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 77th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101921248","display_name":"Rajesh Kumar Sharma","orcid":"https://orcid.org/0000-0002-2675-4623"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rajesh K. Sharma","raw_affiliation_strings":["International Graduate School on Mobile Communications, Ilmenau University of Technology, Ilmenau, Germany","Int. Grad. Sch. on Mobile Commun., Ilmenau Univ. of Technol., Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Graduate School on Mobile Communications, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]},{"raw_affiliation_string":"Int. Grad. Sch. on Mobile Commun., Ilmenau Univ. of Technol., Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005416613","display_name":"Anastasia Lavrenko","orcid":"https://orcid.org/0000-0002-3944-5379"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anastasia Lavrenko","raw_affiliation_strings":["International Graduate School on Mobile Communications, Ilmenau University of Technology, Ilmenau, Germany","Int. Grad. Sch. on Mobile Commun., Ilmenau Univ. of Technol., Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Graduate School on Mobile Communications, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]},{"raw_affiliation_string":"Int. Grad. Sch. on Mobile Commun., Ilmenau Univ. of Technol., Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059969592","display_name":"Reiner S. Thom\u00e4","orcid":"https://orcid.org/0000-0002-9254-814X"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reiner S. Thoma","raw_affiliation_strings":["International Graduate School on Mobile Communications, Ilmenau University of Technology, Ilmenau, Germany","Int. Grad. Sch. on Mobile Commun., Ilmenau Univ. of Technol., Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Graduate School on Mobile Communications, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]},{"raw_affiliation_string":"Int. Grad. Sch. on Mobile Commun., Ilmenau Univ. of Technol., Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119449181"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9997000098228455,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9997000098228455,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9995999932289124,"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":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.9369743466377258},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.6222109794616699},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.5944013595581055},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5749770402908325},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5453838109970093},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.5264312028884888},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5189270973205566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.518589973449707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5139486193656921},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5077015161514282},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.49846458435058594},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.49273136258125305},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4887683093547821},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4646199941635132},{"id":"https://openalex.org/keywords/correlation-function","display_name":"Correlation function (quantum field theory)","score":0.42174625396728516},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38126590847969055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3574623763561249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2156948447227478},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18890047073364258},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14919358491897583},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.10130253434181213}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.9369743466377258},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.6222109794616699},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.5944013595581055},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5749770402908325},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5453838109970093},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.5264312028884888},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5189270973205566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.518589973449707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5139486193656921},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5077015161514282},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.49846458435058594},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.49273136258125305},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4887683093547821},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4646199941635132},{"id":"https://openalex.org/C53622274","wikidata":"https://www.wikidata.org/wiki/Q2496679","display_name":"Correlation function (quantum field theory)","level":3,"score":0.42174625396728516},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38126590847969055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3574623763561249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2156948447227478},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18890047073364258},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14919358491897583},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.10130253434181213},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","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/vtcspring.2013.6692701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2013.6692701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 77th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W24244813","https://openalex.org/W1945674169","https://openalex.org/W2044842329","https://openalex.org/W2074718074","https://openalex.org/W2099864321","https://openalex.org/W2119137700","https://openalex.org/W2138582058","https://openalex.org/W2145197862","https://openalex.org/W2155999145","https://openalex.org/W2156043963","https://openalex.org/W2164701487","https://openalex.org/W2168078104","https://openalex.org/W2543635661","https://openalex.org/W3023553154","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2105045607","https://openalex.org/W2086482293","https://openalex.org/W2370807863","https://openalex.org/W2800127608","https://openalex.org/W2018844129","https://openalex.org/W2378015512","https://openalex.org/W1974075201","https://openalex.org/W1578525639","https://openalex.org/W2153508596","https://openalex.org/W2036630609"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,18,34,69,74,85,99,113,123],"performance":[4,65,76,100],"of":[5,77,87],"energy":[6],"detection":[7,32,75],"(ED)":[8],"for":[9,30,50,104,112],"random":[10],"signals":[11,23],"having":[12,90],"sufficient":[13],"autocorrelation.":[14],"As":[15],"opposed":[16],"to":[17,68],"uncorrelated":[19],"noise,":[20],"practical":[21],"communication":[22],"have":[24],"autocorrelation,":[25],"which":[26],"can":[27,42],"be":[28,43],"exploited":[29],"optimal":[31,57],"if":[33],"correlation":[35,70,115],"is":[36,56,102,125,129],"known":[37],"a":[38,46],"priori.":[39],"Otherwise":[40],"ED":[41,55,78],"employed":[44],"as":[45],"generalized":[47],"sensing":[48],"method":[49],"unknown":[51],"signals.":[52],"However,":[53],"since":[54],"only":[58],"when":[59,127],"signal":[60,89],"samples":[61],"are":[62],"uncorrelated,":[63],"its":[64],"degrades":[66],"due":[67],"present.":[71],"We":[72],"investigate":[73],"both":[79],"analytically":[80],"and":[81,95,110],"by":[82],"simulation":[83,96],"under":[84],"assumption":[86],"Gaussian":[88],"exponential":[91],"autocorrelation":[92],"function.":[93],"Analysis":[94],"show":[97],"that":[98],"degradation":[101,124],"negligible":[103],"low":[105],"signal-to-noise":[106],"ratio":[107],"(SNR)":[108],"levels,":[109],"also":[111],"first-lag":[114],"less":[116],"than":[117],"0.5.":[118],"For":[119],"highly":[120],"correlated":[121],"signals,":[122],"pronounced":[126],"SNR":[128],"above":[130],"-12":[131],"dB.":[132]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}