{"id":"https://openalex.org/W1965017876","doi":"https://doi.org/10.1109/lsp.2013.2271515","title":"Utilization of Noise-Only Samples in Array Processing With Prior Knowledge","display_name":"Utilization of Noise-Only Samples in Array Processing With Prior Knowledge","publication_year":2013,"publication_date":"2013-06-27","ids":{"openalex":"https://openalex.org/W1965017876","doi":"https://doi.org/10.1109/lsp.2013.2271515","mag":"1965017876"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2013.2271515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2271515","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1308.3374","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043094282","display_name":"Dave Zachariah","orcid":"https://orcid.org/0000-0002-6698-0166"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"D. Zachariah","raw_affiliation_strings":["ACCESS Linnaeus Centre, Royal Institute of Technology, Stockholm, Sweden","ACCESS Linnaeus Centre, KTH R. Inst. of Technol., Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Centre, Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"ACCESS Linnaeus Centre, KTH R. Inst. of Technol., Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019386542","display_name":"Magnus Jansson","orcid":"https://orcid.org/0000-0002-6855-5868"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"M. Jansson","raw_affiliation_strings":["ACCESS Linnaeus Centre, Royal Institute of Technology, Stockholm, Sweden","ACCESS Linnaeus Centre, KTH R. Inst. of Technol., Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Centre, Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"ACCESS Linnaeus Centre, KTH R. Inst. of Technol., Stockholm, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011373389","display_name":"Mats Bengtsson","orcid":"https://orcid.org/0000-0002-3599-5584"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"M. Bengtsson","raw_affiliation_strings":["ACCESS Linnaeus Centre, Royal Institute of Technology, Stockholm, Sweden","ACCESS Linnaeus Centre, KTH R. Inst. of Technol., Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ACCESS Linnaeus Centre, Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"ACCESS Linnaeus Centre, KTH R. Inst. of Technol., Stockholm, Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6442,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66200924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"20","issue":"9","first_page":"865","last_page":"868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8230612277984619},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6707199215888977},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.6174797415733337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5918146967887878},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5517721176147461},{"id":"https://openalex.org/keywords/array-processing","display_name":"Array processing","score":0.5167345404624939},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48862701654434204},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.47651612758636475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4629121422767639},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4402807652950287},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.429146409034729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40084874629974365},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3564072847366333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34642404317855835},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3134271502494812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2858395576477051},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.24981790781021118},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14285552501678467},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05432930588722229}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8230612277984619},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6707199215888977},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.6174797415733337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5918146967887878},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5517721176147461},{"id":"https://openalex.org/C2778545087","wikidata":"https://www.wikidata.org/wiki/Q4795883","display_name":"Array processing","level":4,"score":0.5167345404624939},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48862701654434204},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.47651612758636475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4629121422767639},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4402807652950287},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.429146409034729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40084874629974365},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3564072847366333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34642404317855835},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3134271502494812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2858395576477051},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.24981790781021118},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14285552501678467},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05432930588722229},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lsp.2013.2271515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2271515","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1308.3374","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1308.3374","pdf_url":"https://arxiv.org/pdf/1308.3374","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.765.4996","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.765.4996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1308.3374.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1308.3374","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1308.3374","pdf_url":"https://arxiv.org/pdf/1308.3374","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.7599999904632568,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1627533315","https://openalex.org/W1897507705","https://openalex.org/W2006035071","https://openalex.org/W2048076186","https://openalex.org/W2049653957","https://openalex.org/W2054877413","https://openalex.org/W2096740238","https://openalex.org/W2119453052","https://openalex.org/W2126150608","https://openalex.org/W2138571604","https://openalex.org/W2140728947","https://openalex.org/W2141948389","https://openalex.org/W2142942411","https://openalex.org/W2155669947","https://openalex.org/W2156469609","https://openalex.org/W2158541895","https://openalex.org/W2329024290","https://openalex.org/W2541435708","https://openalex.org/W2952350176","https://openalex.org/W3147239237","https://openalex.org/W4229629744","https://openalex.org/W4246464474","https://openalex.org/W6681223138"],"related_works":["https://openalex.org/W2383442375","https://openalex.org/W4379654103","https://openalex.org/W1506275581","https://openalex.org/W2884297244","https://openalex.org/W2386148311","https://openalex.org/W336214589","https://openalex.org/W2130356050","https://openalex.org/W3206310269","https://openalex.org/W2172119162","https://openalex.org/W1503680297"],"abstract_inverted_index":{"For":[0],"array":[1],"processing,":[2],"we":[3],"consider":[4],"the":[5,42,56,64],"problem":[6],"of":[7,10,15,32,41,47,55],"estimating":[8],"signals":[9],"interest,":[11],"and":[12,63,74],"their":[13],"directions":[14],"arrival":[16],"(DOA),":[17],"in":[18,75],"unknown":[19],"colored":[20],"noise":[21],"fields.":[22],"We":[23],"develop":[24],"an":[25],"estimator":[26,50],"that":[27,59],"efficiently":[28],"utilizes":[29],"a":[30],"set":[31],"noise-only":[33,61],"samples":[34],"and,":[35],"further,":[36],"can":[37],"incorporate":[38],"prior":[39],"knowledge":[40],"DOAs":[43],"with":[44,53],"varying":[45],"degrees":[46],"certainty.":[48],"The":[49],"is":[51],"compared":[52],"state":[54],"art":[57],"estimators":[58],"utilize":[60],"samples,":[62],"Cram\u00e9r-Rao":[65],"bound,":[66],"exhibiting":[67],"improved":[68],"performance":[69],"for":[70],"smaller":[71],"sample":[72],"sets":[73],"poor":[76],"signal":[77],"conditions.":[78]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}