{"id":"https://openalex.org/W2148003793","doi":"https://doi.org/10.1109/tsp.2011.2153849","title":"Performance Analysis of the Periodogram-Based Energy Detector in Fading Channels","display_name":"Performance Analysis of the Periodogram-Based Energy Detector in Fading Channels","publication_year":2011,"publication_date":"2011-05-13","ids":{"openalex":"https://openalex.org/W2148003793","doi":"https://doi.org/10.1109/tsp.2011.2153849","mag":"2148003793"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.2153849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2153849","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","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/A5108531850","display_name":"Ebtihal H. Gismalla","orcid":null},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ebtihal Haider Gismalla","raw_affiliation_strings":["School of Electrical & Electronic Engineering, University of Manchester, Institute of Science and Technology, Manchester, UK"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, University of Manchester, Institute of Science and Technology, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002248410","display_name":"Emad Alsusa","orcid":"https://orcid.org/0000-0002-7724-2636"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Emad Alsusa","raw_affiliation_strings":["School of Electrical & Electronic Engineering, University of Manchester, Institute of Science and Technology, Manchester, UK"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, University of Manchester, Institute of Science and Technology, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108531850"],"corresponding_institution_ids":["https://openalex.org/I28407311"],"apc_list":null,"apc_paid":null,"fwci":9.501,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.98234477,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"59","issue":"8","first_page":"3712","last_page":"3721"},"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":1.0,"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":1.0,"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":0.9987999796867371,"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":0.9947999715805054,"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/false-alarm","display_name":"False alarm","score":0.7040188312530518},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6311017274856567},{"id":"https://openalex.org/keywords/rician-fading","display_name":"Rician fading","score":0.5500994920730591},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5256822109222412},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.4907589852809906},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4780488610267639},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.470164030790329},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.4355294108390808},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4313032329082489},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.41720259189605713},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.4138278365135193},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3763885200023651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.24852952361106873},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1513996720314026},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13171979784965515},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08589541912078857}],"concepts":[{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.7040188312530518},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6311017274856567},{"id":"https://openalex.org/C60472773","wikidata":"https://www.wikidata.org/wiki/Q7331156","display_name":"Rician fading","level":4,"score":0.5500994920730591},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5256822109222412},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.4907589852809906},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4780488610267639},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.470164030790329},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.4355294108390808},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4313032329082489},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.41720259189605713},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.4138278365135193},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3763885200023651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24852952361106873},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1513996720314026},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13171979784965515},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08589541912078857},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","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":3,"locations":[{"id":"doi:10.1109/tsp.2011.2153849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2153849","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/cc4e0a3f-b4a8-4bff-9ecb-af72447e0d33","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/cc4e0a3f-b4a8-4bff-9ecb-af72447e0d33","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Gismalla, E H & Alsusa, E 2011, 'Performance analysis of the periodogram-based energy detector in fading channels', IEEE Transactions on Signal Processing, vol. 59, no. 8, 5766053, pp. 3712-3721. https://doi.org/10.1109/TSP.2011.2153849","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/cc4e0a3f-b4a8-4bff-9ecb-af72447e0d33","is_oa":false,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/performance-analysis-of-the-periodogrambased-energy-detector-in-fading-channels(cc4e0a3f-b4a8-4bff-9ecb-af72447e0d33).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Gismalla, E H & Alsusa, E 2011, 'Performance analysis of the periodogram-based energy detector in fading channels', IEEE Transactions on Signal Processing, vol. 59, no. 8, 5766053, pp. 3712-3721. https://doi.org/10.1109/TSP.2011.2153849","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W182452766","https://openalex.org/W1517583229","https://openalex.org/W1553437616","https://openalex.org/W1573149518","https://openalex.org/W1945674169","https://openalex.org/W1971614180","https://openalex.org/W2016166616","https://openalex.org/W2016886155","https://openalex.org/W2031211320","https://openalex.org/W2063551896","https://openalex.org/W2071707134","https://openalex.org/W2094040025","https://openalex.org/W2097638521","https://openalex.org/W2101840010","https://openalex.org/W2107245788","https://openalex.org/W2115615272","https://openalex.org/W2116123718","https://openalex.org/W2122549035","https://openalex.org/W2134396534","https://openalex.org/W2138607682","https://openalex.org/W2155999145","https://openalex.org/W2164402548","https://openalex.org/W2164701487","https://openalex.org/W2168078104","https://openalex.org/W2263224228","https://openalex.org/W2610857016","https://openalex.org/W3119059448","https://openalex.org/W3140164265","https://openalex.org/W4250787282"],"related_works":["https://openalex.org/W1607978590","https://openalex.org/W2980109842","https://openalex.org/W2050950555","https://openalex.org/W2783554303","https://openalex.org/W1576013675","https://openalex.org/W2113587703","https://openalex.org/W2154316601","https://openalex.org/W2938807808","https://openalex.org/W1965669147","https://openalex.org/W2175983084"],"abstract_inverted_index":{"In":[0],"this":[1,86],"paper,":[2],"we":[3,22,58,137],"provide":[4],"a":[5,42,96],"performance":[6],"analysis":[7],"of":[8,29,50,55,62,65,70,78,120,145,155,163,166],"cognitive":[9],"radio":[10],"systems":[11],"employing":[12],"energy":[13,185],"detection":[14,34,125,160],"based":[15,184],"on":[16],"power":[17],"spectral":[18],"density":[19,102],"estimation.":[20],"Specifically,":[21],"derive":[23,113],"mathematical":[24,115],"expressions":[25,116],"for":[26,99,117,134],"the":[27,36,47,51,56,60,63,66,71,75,79,100,108,118,140,146,153,164,167,171,181],"probabilities":[28,119,154],"false":[30,121,156,198],"alarm":[31,122,157],"and":[32,74,94,123,129,158],"missed":[33,124,159],"when":[35,169],"periodogram":[37],"estimate":[38],"is":[39,88,105,110,187],"used":[40],"as":[41,194],"decision":[43],"statistic.":[44],"First,":[45],"using":[46],"characteristic":[48],"function":[49,103,143],"quadratic":[52,80],"form":[53],"representation":[54],"periodogram,":[57],"study":[59],"characteristics":[61],"product":[64,87],"sample":[67],"covariance":[68],"matrix":[69,77],"observed":[72],"vector":[73],"symmetric":[76],"form.":[81],"We":[82],"have":[83,138],"found":[84],"that":[85,152,180],"Rank-1":[89],"with":[90],"one":[91],"non-zero":[92],"eigenvalue":[93],"therefore":[95],"simplified":[97],"expression":[98],"cumulative":[101],"(CDF)":[104],"obtained.":[106],"Second,":[107],"CDF":[109],"exploited":[111],"to":[112,189],"accurate":[114],"in":[126],"both":[127],"Rayleigh":[128],"Rician":[130],"fading":[131],"channels.":[132],"Also,":[133],"each":[135],"case,":[136],"derived":[139],"probability":[141],"distribution":[142],"(PDF)":[144],"corresponding":[147],"eigenvalues.":[148],"The":[149,176],"results":[150,177],"demonstrate":[151],"are":[161],"independent":[162],"length":[165],"observations":[168],"all":[170],"other":[172],"parameters":[173],"remain":[174],"fixed.":[175],"also":[178],"reveal":[179],"considered":[182],"frequency-domain":[183],"detector":[186],"superior":[188],"its":[190],"conventional":[191],"time-domain":[192],"counterpart":[193],"it":[195],"provides":[196],"fewer":[197],"alarms.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}