{"id":"https://openalex.org/W2134588841","doi":"https://doi.org/10.1109/wcnc.2003.1200464","title":"Unified analysis of generalized selection diversity with normalized threshold test per branch","display_name":"Unified analysis of generalized selection diversity with normalized threshold test per branch","publication_year":2004,"publication_date":"2004-01-23","ids":{"openalex":"https://openalex.org/W2134588841","doi":"https://doi.org/10.1109/wcnc.2003.1200464","mag":"2134588841"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2003.1200464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2003.1200464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003.","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/A5076372630","display_name":"A. Annamalai","orcid":"https://orcid.org/0000-0002-5210-2645"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Annamalai","raw_affiliation_strings":["Mobile and Portable Radio Research Group, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","[Mobile & Portable Radio Res. Group, Virginia Tech, Blacksburg, VA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile and Portable Radio Research Group, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"[Mobile & Portable Radio Res. Group, Virginia Tech, Blacksburg, VA, USA]","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023374809","display_name":"G. Deora","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Deora","raw_affiliation_strings":["Mobile and Portable Radio Research Group, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","[Mobile & Portable Radio Res. Group, Virginia Tech, Blacksburg, VA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile and Portable Radio Research Group, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"[Mobile & Portable Radio Res. Group, Virginia Tech, Blacksburg, VA, USA]","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060881187","display_name":"Chintha Tellambura","orcid":"https://orcid.org/0000-0002-9419-7195"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Tellambura","raw_affiliation_strings":["Mobile and Portable Radio Research Group, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","[Mobile & Portable Radio Res. Group, Virginia Tech, Blacksburg, VA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile and Portable Radio Research Group, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"[Mobile & Portable Radio Res. Group, Virginia Tech, Blacksburg, VA, USA]","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":9.9279,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.98875283,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"752","last_page":"756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12024","display_name":"Ultra-Wideband Communications Technology","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12024","display_name":"Ultra-Wideband Communications Technology","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10069","display_name":"Antenna Design and Analysis","score":0.9980000257492065,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/maximal-ratio-combining","display_name":"Maximal-ratio combining","score":0.7286508083343506},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.6833532452583313},{"id":"https://openalex.org/keywords/rake-receiver","display_name":"Rake receiver","score":0.6680039167404175},{"id":"https://openalex.org/keywords/rake","display_name":"Rake","score":0.6611180305480957},{"id":"https://openalex.org/keywords/diversity-combining","display_name":"Diversity combining","score":0.6453401446342468},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6412404775619507},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.6031895279884338},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5242993235588074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5158073902130127},{"id":"https://openalex.org/keywords/diversity-gain","display_name":"Diversity gain","score":0.5143364667892456},{"id":"https://openalex.org/keywords/code-division-multiple-access","display_name":"Code division multiple access","score":0.4956759214401245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4893636107444763},{"id":"https://openalex.org/keywords/moment-generating-function","display_name":"Moment-generating function","score":0.4586600661277771},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43436944484710693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41597163677215576},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4072180688381195},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.40051785111427307},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3722562789916992},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2589206397533417},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.22238051891326904},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16557928919792175}],"concepts":[{"id":"https://openalex.org/C86024645","wikidata":"https://www.wikidata.org/wiki/Q6795632","display_name":"Maximal-ratio combining","level":4,"score":0.7286508083343506},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.6833532452583313},{"id":"https://openalex.org/C23486597","wikidata":"https://www.wikidata.org/wiki/Q1125543","display_name":"Rake receiver","level":4,"score":0.6680039167404175},{"id":"https://openalex.org/C2778855872","wikidata":"https://www.wikidata.org/wiki/Q7286559","display_name":"Rake","level":2,"score":0.6611180305480957},{"id":"https://openalex.org/C136817519","wikidata":"https://www.wikidata.org/wiki/Q947493","display_name":"Diversity combining","level":4,"score":0.6453401446342468},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6412404775619507},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.6031895279884338},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5242993235588074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5158073902130127},{"id":"https://openalex.org/C164785522","wikidata":"https://www.wikidata.org/wiki/Q5283966","display_name":"Diversity gain","level":4,"score":0.5143364667892456},{"id":"https://openalex.org/C47696715","wikidata":"https://www.wikidata.org/wiki/Q233394","display_name":"Code division multiple access","level":2,"score":0.4956759214401245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4893636107444763},{"id":"https://openalex.org/C101796028","wikidata":"https://www.wikidata.org/wiki/Q535587","display_name":"Moment-generating function","level":3,"score":0.4586600661277771},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43436944484710693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41597163677215576},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4072180688381195},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.40051785111427307},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3722562789916992},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2589206397533417},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.22238051891326904},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16557928919792175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wcnc.2003.1200464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2003.1200464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.543.9838","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.543.9838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.ualberta.ca/~chintha/resources/papers/2003/1200464.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8799999952316284,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1955126932","https://openalex.org/W1961756927","https://openalex.org/W2006754878","https://openalex.org/W2106691507","https://openalex.org/W2136409354","https://openalex.org/W2143399769","https://openalex.org/W2145333873","https://openalex.org/W3018120699","https://openalex.org/W4251791222","https://openalex.org/W6776397019"],"related_works":["https://openalex.org/W1513922550","https://openalex.org/W2381721328","https://openalex.org/W2130592741","https://openalex.org/W2156456371","https://openalex.org/W2006422753","https://openalex.org/W1543115813","https://openalex.org/W2157308659","https://openalex.org/W2068480774","https://openalex.org/W2119528292","https://openalex.org/W2108420689"],"abstract_inverted_index":{"The":[0,64],"ability":[1],"to":[2,123,132,154,180],"capture":[3],"significant":[4],"amount":[5],"of":[6,20,45,141,175],"transmitted":[7],"signal":[8],"energy":[9],"present":[10],"in":[11,61,166],"the":[12,43,62,93,136,176],"resolvable":[13,150],"multipaths":[14],"using":[15],"only":[16],"a":[17,85,167],"modest":[18],"number":[19],"RAKE":[21,46],"fingers":[22],"(correlators)":[23],"is":[24,40,81],"an":[25],"important":[26,83],"receiver":[27,47,56],"design":[28],"consideration":[29],"for":[30,115,135,158],"ultra-wideband":[31],"(UWB)":[32],"and":[33,97,185],"wideband":[34],"CDMA":[35],"communication":[36],"systems.":[37],"This,":[38],"however,":[39],"achieved":[41],"at":[42],"expense":[44],"performance.":[48],"Motivated":[49],"by":[50],"this":[51,89],"need,":[52],"several":[53],"suboptimal":[54],"hybrid":[55],"structures":[57],"have":[58],"been":[59,121],"proposed":[60],"literature.":[63],"study":[65],"on":[66],"generalized":[67],"selection":[68,95],"diversity":[69,96],"combining":[70,99,105],"with":[71,148],"normalized":[72],"threshold":[73],"test":[74],"per":[75],"branch":[76],"(T":[77],"-":[78,117,143],"GSC(/spl":[79,118,144],"mu/,L))":[80],"also":[82,172],"from":[84],"theoretical":[86],"standpoint":[87],"because":[88],"model":[90],"encapsulates":[91],"both":[92,183],"traditional":[94],"maximal-ratio":[98],"(coherent":[100],"detection)":[101,107],"or":[102],"post-detection":[103],"equal-gain":[104],"(noncoherent":[106],"schemes":[108],"as":[109],"limiting":[110],"cases.":[111],"However,":[112],"mathematical":[113],"analysis":[114],"T":[116,142],"mu/,L)":[119,145],"has":[120,163],"limited":[122],"i.i.d.":[124],"Rayleigh":[125],"fading":[126],"channels.":[127],"This":[128],"paper":[129],"derives":[130],"simple":[131,168],"evaluate":[133],"formulas":[134],"moment":[137],"generating":[138],"function":[139],"(mgf)":[140],"output":[146],"SNR":[147],"L":[149],"multipaths.":[151],"In":[152],"addition":[153],"providing":[155],"new":[156],"results":[157,179],"many":[159],"cases":[160],"that":[161],"heretofore":[162],"resisted":[164],"solution":[165],"form,":[169],"our":[170],"approach":[171],"allows":[173],"some":[174],"previously":[177],"obtained":[178],"be":[181],"simplified":[182],"analytically":[184],"computationally.":[186]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
