{"id":"https://openalex.org/W3133210704","doi":null,"title":"Exploiting the Rules of the TF-MUSIC and Spatial Smoothing to Enhance the DOA Estimation for Coherent and Non-stationary Sources","display_name":"Exploiting the Rules of the TF-MUSIC and Spatial Smoothing to Enhance the DOA Estimation for Coherent and Non-stationary Sources","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3133210704","mag":"3133210704"},"language":"en","primary_location":{"id":"mag:3133210704","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/apsipa/apsipa2020.html#ZhagyparZA20","pdf_url":null,"source":{"id":"https://openalex.org/S4363607812","display_name":"Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5001293355","display_name":"Ruslan Zhagypar","orcid":"https://orcid.org/0000-0001-6393-2014","observed_orcids":["https://orcid.org/0000-0001-6393-2014"]},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Ruslan Zhagypar","raw_affiliation_strings":["Nazarbayev University,School of Engineering & Digital Sciences,Nur-Sultan,Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0001-6393-2014","affiliations":[{"raw_affiliation_string":"Nazarbayev University,School of Engineering & Digital Sciences,Nur-Sultan,Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020077517","display_name":"Kalamkas Zhagyparova","orcid":"https://orcid.org/0000-0002-8694-7988","observed_orcids":["https://orcid.org/0000-0002-8694-7988"]},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Kalamkas Zhagyparova","raw_affiliation_strings":["Nazarbayev University,School of Engineering & Digital Sciences,Nur-Sultan,Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0002-8694-7988","affiliations":[{"raw_affiliation_string":"Nazarbayev University,School of Engineering & Digital Sciences,Nur-Sultan,Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058941240","display_name":"Muhammad Tahir Akhtar","orcid":"https://orcid.org/0000-0001-5979-0682","observed_orcids":["https://orcid.org/0000-0001-5979-0682"]},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Muhammad Tahir Akhtar","raw_affiliation_strings":["Nazarbayev University,School of Engineering & Digital Sciences,Nur-Sultan,Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0001-5979-0682","affiliations":[{"raw_affiliation_string":"Nazarbayev University,School of Engineering & Digital Sciences,Nur-Sultan,Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60559429"],"apc_list":null,"apc_paid":null,"fwci":0.3383,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56426932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"236","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":1.0,"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":1.0,"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":9.999999747378752e-05,"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/T11309","display_name":"Music and Audio Processing","score":0.0,"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/doa-estimation","display_name":"direction of arrival estimation","score":0.9769999980926514},{"id":"https://openalex.org/keywords/coherent-sources","display_name":"coherent sources","score":0.7049999833106995},{"id":"https://openalex.org/keywords/non-stationary-signals","display_name":"non-stationary signals","score":0.9789999723434448},{"id":"https://openalex.org/keywords/spatial-smoothing","display_name":"spatial smoothing","score":0.75},{"id":"https://openalex.org/keywords/spatial-time-frequency-distribution","display_name":"spatial time-frequency distribution","score":0.8090000152587891},{"id":"https://openalex.org/keywords/root-music","display_name":"root-MUSIC","score":0.7720000147819519},{"id":"https://openalex.org/keywords/chirp-signals","display_name":"chirp signals","score":0.8259999752044678},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.43299999833106995}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.8165245652198792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5944517254829407},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5703750252723694},{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.560554563999176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5522895455360413},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4862872064113617},{"id":"https://openalex.org/C206118826","wikidata":"https://www.wikidata.org/wiki/Q3841682","display_name":"Multiple signal classification","level":3,"score":0.4600726068019867},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4595358371734619},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4577023983001709},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4480392336845398},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4342002868652344},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4340149760246277},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3230031728744507},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3015008568763733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25962191820144653},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11539798974990845},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08214804530143738},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3133210704","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/apsipa/apsipa2020.html#ZhagyparZA20","pdf_url":null,"source":{"id":"https://openalex.org/S4363607812","display_name":"Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Asia-Pacific Signal and Information Processing Association Annual Summit and Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W432693341","https://openalex.org/W1993088102","https://openalex.org/W1997231965","https://openalex.org/W2010076754","https://openalex.org/W2081934505","https://openalex.org/W2111640745","https://openalex.org/W2113638573","https://openalex.org/W2136172079","https://openalex.org/W2612501572","https://openalex.org/W2742299865","https://openalex.org/W2781095350","https://openalex.org/W2966990285","https://openalex.org/W2971230710","https://openalex.org/W3022667867"],"related_works":["https://openalex.org/W3179497098","https://openalex.org/W2385835499","https://openalex.org/W2093694948","https://openalex.org/W4200443197","https://openalex.org/W2373145701","https://openalex.org/W2966916320","https://openalex.org/W2370906398","https://openalex.org/W2391297282","https://openalex.org/W7131098364","https://openalex.org/W2393873904"],"abstract_inverted_index":{"The":[0,71,88,113],"paper":[1],"introduces":[2],"a":[3],"combination":[4],"of":[5,14,32,50,65,85,91,103],"several":[6],"techniques":[7],"and":[8,21,68,137],"methods":[9],"to":[10,77,81,106,128,133],"tackle":[11],"the":[12,33,41,47,51,53,66,78,83,92,101,104,108,134],"problem":[13,84],"Direction-of":[15],"Arrival":[16],"(DOA)":[17],"estimation":[18],"for":[19,63,100],"coherent":[20,118],"non-stationary":[22],"signals":[23,34,67,86,109,120],"under":[24],"severe":[25],"noise":[26],"conditions.":[27],"Until":[28],"now,":[29],"these":[30],"properties":[31],"were":[35,43],"studied":[36],"by":[37],"many":[38],"researchers,":[39],"yet":[40],"solutions":[42],"developed":[44],"separately.":[45],"At":[46],"first":[48],"stage":[49],"algorithm,":[52],"Spatial":[54],"Time-Frequency":[55,138],"Distribution":[56],"(STFD)":[57],"matrix":[58,80],"is":[59,75,111],"derived,":[60],"which":[61],"accounts":[62],"non-stationarity":[64],"allows":[69],"denoising.":[70],"forward-backward":[72],"spatial":[73],"smoothing":[74],"applied":[76],"STFD":[79],"solve":[82],"coherency.":[87],"main":[89],"principle":[90],"Root":[93],"MUltiple":[94],"SIgnal":[95],"Classification":[96],"(Root-MUSIC),":[97],"namely,":[98],"solving":[99],"roots":[102],"polynomial":[105],"obtain":[107],"DOA":[110],"exploited.":[112],"algorithm":[114],"was":[115],"simulated":[116],"with":[117,121],"chirp":[119],"different":[122],"Signal-to":[123],"Noise":[124],"Ratio":[125],"(SNR)":[126],"values":[127],"observe":[129],"its":[130],"efficiency":[131],"compared":[132],"conventional":[135],"Root-MUSIC":[136],"MUSIC":[139],"TF-MUSIC)":[140],"methods.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-03-01T00:00:00"}