{"id":"https://openalex.org/W2938571995","doi":"https://doi.org/10.1587/transcom.2018ebp3365","title":"Underdetermined Direction of Arrival Estimation Based on Signal Sparsity","display_name":"Underdetermined Direction of Arrival Estimation Based on Signal Sparsity","publication_year":2019,"publication_date":"2019-04-11","ids":{"openalex":"https://openalex.org/W2938571995","doi":"https://doi.org/10.1587/transcom.2018ebp3365","mag":"2938571995"},"language":"en","primary_location":{"id":"doi:10.1587/transcom.2018ebp3365","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transcom.2018ebp3365","pdf_url":null,"source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-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/A5100649898","display_name":"Peng Li","orcid":"https://orcid.org/0000-0001-9432-8995"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Peng LI","raw_affiliation_strings":["Electromagnetic Compatibility Laboratory, School of Mechanical Engineering, Southeast University"],"affiliations":[{"raw_affiliation_string":"Electromagnetic Compatibility Laboratory, School of Mechanical Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029932972","display_name":"Zhongyuan Zhou","orcid":"https://orcid.org/0000-0002-8426-4876"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Zhongyuan ZHOU","raw_affiliation_strings":["Electromagnetic Compatibility Laboratory, School of Mechanical Engineering, Southeast University"],"affiliations":[{"raw_affiliation_string":"Electromagnetic Compatibility Laboratory, School of Mechanical Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000331552","display_name":"Mingjie Sheng","orcid":"https://orcid.org/0000-0002-3548-6798"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mingjie SHENG","raw_affiliation_strings":["Electromagnetic Compatibility Laboratory, School of Mechanical Engineering, Southeast University"],"affiliations":[{"raw_affiliation_string":"Electromagnetic Compatibility Laboratory, School of Mechanical Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065731744","display_name":"Peng Hu","orcid":"https://orcid.org/0000-0003-2218-2370"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Peng HU","raw_affiliation_strings":["Electromagnetic Compatibility Laboratory, School of Mechanical Engineering, Southeast University"],"affiliations":[{"raw_affiliation_string":"Electromagnetic Compatibility Laboratory, School of Mechanical Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025768862","display_name":"Qi Zhou","orcid":"https://orcid.org/0000-0002-3949-7953"},"institutions":[{"id":"https://openalex.org/I4210090971","display_name":"Southeast University","ror":"https://ror.org/00cf0ab87","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210090971"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Qi ZHOU","raw_affiliation_strings":["Electromagnetic Compatibility Laboratory, School of Mechanical Engineering, Southeast University"],"affiliations":[{"raw_affiliation_string":"Electromagnetic Compatibility Laboratory, School of Mechanical Engineering, Southeast University","institution_ids":["https://openalex.org/I4210090971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100649898"],"corresponding_institution_ids":["https://openalex.org/I4210090971"],"apc_list":null,"apc_paid":null,"fwci":0.3317,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53050203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"E102.B","issue":"10","first_page":"2066","last_page":"2072"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9968000054359436,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9968000054359436,"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":0.9879000186920166,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/underdetermined-system","display_name":"Underdetermined system","score":0.9398424625396729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7600424289703369},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.7295180559158325},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6927481293678284},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.6350094079971313},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6242669224739075},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6095266342163086},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5840874910354614},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.511435866355896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43128150701522827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34143131971359253},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32831740379333496},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18456187844276428},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10349151492118835}],"concepts":[{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.9398424625396729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600424289703369},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.7295180559158325},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6927481293678284},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.6350094079971313},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6242669224739075},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6095266342163086},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5840874910354614},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.511435866355896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43128150701522827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34143131971359253},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32831740379333496},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18456187844276428},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10349151492118835},{"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/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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":"doi:10.1587/transcom.2018ebp3365","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transcom.2018ebp3365","pdf_url":null,"source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1969977532","https://openalex.org/W2025000420","https://openalex.org/W2028882748","https://openalex.org/W2043511730","https://openalex.org/W2047053032","https://openalex.org/W2079269116","https://openalex.org/W2090796596","https://openalex.org/W2105947220","https://openalex.org/W2112681865","https://openalex.org/W2153909896","https://openalex.org/W2168975387","https://openalex.org/W2281465390","https://openalex.org/W2340304948","https://openalex.org/W2494176145","https://openalex.org/W2589926161"],"related_works":["https://openalex.org/W2095924515","https://openalex.org/W2383973401","https://openalex.org/W2351680970","https://openalex.org/W2030887432","https://openalex.org/W2034312940","https://openalex.org/W2206857820","https://openalex.org/W2375962929","https://openalex.org/W2900617041","https://openalex.org/W2006085665","https://openalex.org/W2017878933"],"abstract_inverted_index":{"An":[0],"underdetermined":[1],"direction":[2],"of":[3,22,26,44,47,55,74,76,81,102,106],"arrival":[4,75],"estimation":[5],"method":[6,95,108],"based":[7],"on":[8],"signal":[9,86],"sparsity":[10],"is":[11,30,59,109],"proposed":[12,94],"when":[13],"independent":[14,82],"and":[15,65,84],"coherent":[16,85],"signals":[17,29,83],"coexist.":[18],"Firstly,":[19],"the":[20,23,27,34,42,48,56,63,72,93,100,107],"estimate":[21],"mixing":[24,57],"matrix":[25,58],"impinging":[28],"obtained":[31],"by":[32,41,61,92,111],"clustering":[33],"single":[35],"source":[36],"points":[37],"which":[38],"are":[39],"detected":[40],"ratio":[43],"time-frequency":[45],"transforms":[46],"received":[49],"signals.":[50,78],"Then,":[51],"each":[52],"column":[53],"vector":[54],"processed":[60],"exploiting":[62],"forward":[64],"backward":[66],"vectors":[67],"in":[68],"turn":[69],"to":[70],"obtain":[71],"directions":[73],"all":[77],"The":[79,104],"number":[80,101],"groups":[87],"that":[88],"can":[89,96],"be":[90,97],"estimated":[91],"greater":[98],"than":[99],"sensors.":[103],"validity":[105],"demonstrated":[110],"simulations.":[112]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}