{"id":"https://openalex.org/W1881620277","doi":"https://doi.org/10.1109/icassp.1985.1168265","title":"Detection of a sinusoidal signal in the presence of directional interference","display_name":"Detection of a sinusoidal signal in the presence of directional interference","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W1881620277","doi":"https://doi.org/10.1109/icassp.1985.1168265","mag":"1881620277"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1985.1168265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5048656876","display_name":"Blake Erickson","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"B. Erickson","raw_affiliation_strings":["IBM, Corporation, Manassas, VA, USA","IBM Corp., Manassas, VA"],"affiliations":[{"raw_affiliation_string":"IBM, Corporation, Manassas, VA, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM Corp., Manassas, VA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112171315","display_name":"G. Johnson","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Johnson","raw_affiliation_strings":["IBM, Corporation, Manassas, VA, USA","IBM Corp., Manassas, VA, USA"],"affiliations":[{"raw_affiliation_string":"IBM, Corporation, Manassas, VA, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM Corp., Manassas, VA, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026326616","display_name":"D. Ohlms","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Ohlms","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048656876"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":0.3557,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62420452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1277","last_page":"1280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10752","display_name":"Terahertz technology and applications","score":0.9919999837875366,"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/T10752","display_name":"Terahertz technology and applications","score":0.9919999837875366,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9718999862670898,"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/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/clutter","display_name":"Clutter","score":0.7618836164474487},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6161302328109741},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5658643841743469},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5427972674369812},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5158916711807251},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5098463892936707},{"id":"https://openalex.org/keywords/beam","display_name":"Beam (structure)","score":0.49843406677246094},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4792913794517517},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.47200748324394226},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4422398507595062},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.42595288157463074},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.41897594928741455},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.4017164707183838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3114927411079407},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2699486017227173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2546251714229584},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22520288825035095},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17391511797904968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13730692863464355},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.10572636127471924}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7618836164474487},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6161302328109741},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5658643841743469},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5427972674369812},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5158916711807251},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5098463892936707},{"id":"https://openalex.org/C168834538","wikidata":"https://www.wikidata.org/wiki/Q3705329","display_name":"Beam (structure)","level":2,"score":0.49843406677246094},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4792913794517517},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.47200748324394226},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4422398507595062},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.42595288157463074},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.41897594928741455},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.4017164707183838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3114927411079407},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2699486017227173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2546251714229584},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22520288825035095},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17391511797904968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13730692863464355},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.10572636127471924},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1985.1168265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1551593963","https://openalex.org/W2113928857"],"related_works":["https://openalex.org/W2528414118","https://openalex.org/W2387156362","https://openalex.org/W2074073404","https://openalex.org/W2036807298","https://openalex.org/W4285814784","https://openalex.org/W2072903707","https://openalex.org/W1965055812","https://openalex.org/W1966535600","https://openalex.org/W2093613770","https://openalex.org/W4290996275"],"abstract_inverted_index":{"This":[0],"paper":[1],"compares":[2],"the":[3,17,25,50,58,70,76,80,117,120,123,135,149,161],"performance":[4],"of":[5,19,27,52,60,69,75,109,122,138],"full":[6,162],"beam":[7,12,92,151,163],"energy":[8,164],"detection":[9,45,77,118],"and":[10,31,43,72,112,140],"split":[11,91,150],"cross":[13,93,152],"correlation":[14,94],"for":[15,79],"detecting":[16,101],"persence":[18],"a":[20,40,44,53,97,102,106],"sinusoidal":[21,103],"directional":[22,29,110],"signal":[23,104],"in":[24,100],"presence":[26],"interfering":[28],"clutter":[30,111],"uncorrelated":[32],"noise.":[33,113],"The":[34,63,83],"sensor":[35],"is":[36,46,154],"assumed":[37],"to":[38,116,126],"be":[39],"line":[41],"array":[42],"made":[47],"by":[48,133],"comparing":[49],"mean":[51,59,71],"spectral":[54],"analysis":[55],"bin":[56],"with":[57],"neighboring":[61],"bins.":[62],"comparisons":[64,146],"are":[65,88,143],"based":[66],"on":[67],"calculations":[68],"standard":[73],"deviation":[74],"statistic":[78],"two":[81,124,128],"processors.":[82],"results":[84],"indicate":[85,147],"that":[86,130,148],"there":[87],"situations":[89],"when":[90],"can":[95],"provide":[96],"substantial":[98],"advantage":[99],"against":[105],"fluctuating":[107],"background":[108],"In":[114],"addition":[115],"comparisons,":[119],"ability":[121],"approaches":[125],"separate":[127],"contacts":[129,159],"overlap":[131],"spectrally":[132],"using":[134],"additional":[136],"discriminants":[137],"bearing":[139,141],"rate":[142],"compared.":[144],"These":[145],"correlator":[153],"more":[155],"effective":[156],"at":[157],"resolving":[158],"than":[160],"detector.":[165]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
