{"id":"https://openalex.org/W1981648209","doi":"https://doi.org/10.1109/icspcs.2013.6723946","title":"Non-decision-aided detection and SNR estimation of weak BPSK signals in AWGN","display_name":"Non-decision-aided detection and SNR estimation of weak BPSK signals in AWGN","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1981648209","doi":"https://doi.org/10.1109/icspcs.2013.6723946","mag":"1981648209"},"language":"en","primary_location":{"id":"doi:10.1109/icspcs.2013.6723946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs.2013.6723946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013, 7th International Conference on Signal Processing and Communication Systems (ICSPCS)","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/A5023554201","display_name":"Garry N. Newsam","orcid":"https://orcid.org/0000-0002-4492-3048"},"institutions":[{"id":"https://openalex.org/I1303474014","display_name":"Defence Science and Technology Group","ror":"https://ror.org/05ddrvt52","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1303474014","https://openalex.org/I2801453606","https://openalex.org/I3139952251"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Garry N. Newsam","raw_affiliation_strings":["Defence Science and Technology Organisation, Edinburgh, South Australia","Defence Sci. & Technol. Organ, Edinburgh, SA, Australia"],"affiliations":[{"raw_affiliation_string":"Defence Science and Technology Organisation, Edinburgh, South Australia","institution_ids":["https://openalex.org/I1303474014"]},{"raw_affiliation_string":"Defence Sci. & Technol. Organ, Edinburgh, SA, Australia","institution_ids":["https://openalex.org/I1303474014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085866436","display_name":"Michelle E. Chamalaun","orcid":null},"institutions":[{"id":"https://openalex.org/I1303474014","display_name":"Defence Science and Technology Group","ror":"https://ror.org/05ddrvt52","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1303474014","https://openalex.org/I2801453606","https://openalex.org/I3139952251"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michelle E. Chamalaun","raw_affiliation_strings":["Defence Science and Technology Organisation, Edinburgh, South Australia","Defence Sci. & Technol. Organ, Edinburgh, SA, Australia"],"affiliations":[{"raw_affiliation_string":"Defence Science and Technology Organisation, Edinburgh, South Australia","institution_ids":["https://openalex.org/I1303474014"]},{"raw_affiliation_string":"Defence Sci. & Technol. Organ, Edinburgh, SA, Australia","institution_ids":["https://openalex.org/I1303474014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023554201"],"corresponding_institution_ids":["https://openalex.org/I1303474014"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05995177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9984999895095825,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9980000257492065,"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/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.7564995288848877},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7413363456726074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5807979106903076},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5626874566078186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5490846037864685},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5137282609939575},{"id":"https://openalex.org/keywords/phase-shift-keying","display_name":"Phase-shift keying","score":0.5119134187698364},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5079651474952698},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.4932710528373718},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4850165545940399},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.4718858003616333},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4580788016319275},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4239733815193176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3711537718772888},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.2180478870868683},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.21184563636779785},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.11343881487846375},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07197359204292297}],"concepts":[{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.7564995288848877},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7413363456726074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5807979106903076},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5626874566078186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5490846037864685},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5137282609939575},{"id":"https://openalex.org/C186378180","wikidata":"https://www.wikidata.org/wiki/Q4874866","display_name":"Phase-shift keying","level":4,"score":0.5119134187698364},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5079651474952698},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.4932710528373718},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4850165545940399},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.4718858003616333},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4580788016319275},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4239733815193176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3711537718772888},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2180478870868683},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.21184563636779785},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.11343881487846375},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07197359204292297},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icspcs.2013.6723946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs.2013.6723946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013, 7th International Conference on Signal Processing and Communication Systems (ICSPCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/96962","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/96962","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/icspcs.2013.6723946","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1514964785","https://openalex.org/W2100571153","https://openalex.org/W2108801140","https://openalex.org/W2131616141","https://openalex.org/W2133113956","https://openalex.org/W2138484842","https://openalex.org/W2145614561","https://openalex.org/W2157094190","https://openalex.org/W2169142478","https://openalex.org/W4214600808","https://openalex.org/W4232025539","https://openalex.org/W4301195664","https://openalex.org/W6630448626"],"related_works":["https://openalex.org/W2545896082","https://openalex.org/W2162726981","https://openalex.org/W3111419928","https://openalex.org/W2115358448","https://openalex.org/W2157094190","https://openalex.org/W2388824665","https://openalex.org/W2122033380","https://openalex.org/W1965215867","https://openalex.org/W2100598284","https://openalex.org/W2044733806"],"abstract_inverted_index":{"This":[0],"paper":[1,135,200],"provides":[2],"additional":[3],"insight":[4],"into":[5],"non-decision-aided":[6],"detection":[7],"and":[8,35,46,57,108,145,178,193,215,228],"SNR":[9,22,59,82,89,97],"estimation":[10],"of":[11,49,104,125,160,170,190,195],"BPSK":[12],"signals":[13],"in":[14,64,237],"white":[15],"noise":[16],"with":[17,209],"a":[18,126,181,191,233],"focus":[19],"on":[20,76,183,226],"low":[21,58,88],"environments.":[23],"The":[24,134],"likelihood":[25,32],"ratio":[26],"test":[27],"(LRT)":[28],"statistic,":[29],"the":[30,67,80,87,102,105,123,138,156,164,171,184,196,199,206,210,216,220],"maximum":[31],"(ML)":[33],"estimates":[34,69],"Cramer-Rao":[36],"lower":[37],"bounds":[38],"(CRLBs)":[39],"for":[40,54,95,154,175],"this":[41],"problem":[42],"are":[43,51,70,117],"all":[44],"derived":[45],"asymptotic":[47],"analyses":[48,103],"them":[50],"carried":[52],"out":[53],"both":[55,65],"high":[56,81,93],"regimes.":[60],"These":[61],"show":[62,110],"that":[63,187,204],"regimes":[66],"ML":[68,158],"naturally":[71],"approximated":[72],"by":[73,142],"estimators":[74,214],"based":[75,225],"sample":[77,185],"moments.":[78],"While":[79],"results":[83,90],"confirm":[84],"standard":[85,172,212],"practice,":[86],"demonstrate":[91],"unexpectedly":[92],"sensitivity:":[94],"an":[96,168],"\u03c1":[98],"close":[99],"to":[100,119,129,166],"zero":[101],"LRT":[106],"statistic":[107],"CRLB":[109],"O(\u03c1":[111],"<sup":[112],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-4</sup>":[114],")":[115],"samples":[116],"needed":[118],"either":[120],"reliably":[121],"detect":[122],"presence":[124],"signal":[127],"or":[128],"accurately":[130],"estimate":[131,159],"its":[132],"parameters.":[133],"also":[136],"reviews":[137],"iterative":[139,207],"method":[140,165],"proposed":[141],"Li,":[143],"DiFazio":[144],"Zeira":[146],"(IEEE":[147],"Commun.":[148],"Lett.":[149],"6(11),":[150],"pp.":[151],"469-471,":[152],"2002)":[153],"calculating":[155],"true":[157],"SNR:":[161],"it":[162,179],"shows":[163],"be":[167],"instance":[169],"bisection":[173],"algorithm":[174],"root":[176],"finding,":[177],"derives":[180],"condition":[182],"moments":[186,231],"guarantees":[188],"existence":[189],"solution":[192],"convergence":[194],"algorithm.":[197],"Finally":[198],"presents":[201],"some":[202],"simulations":[203],"compare":[205],"scheme":[208],"two":[211],"moment-based":[213],"CRLB:":[217],"these":[218],"indicate":[219],"widely":[221],"used":[222],"M2-M4":[223],"estimator":[224],"second":[227],"fourth":[229],"order":[230],"is":[232],"good":[234],"practical":[235],"choice":[236],"many":[238],"situations.":[239]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}