{"id":"https://openalex.org/W1998958723","doi":"https://doi.org/10.1155/asp/2006/19514","title":"Computationally Efficient Direction-of-Arrival Estimation Based on Partial A Priori Knowledge of Signal Sources","display_name":"Computationally Efficient Direction-of-Arrival Estimation Based on Partial A Priori Knowledge of Signal Sources","publication_year":2006,"publication_date":"2006-03-16","ids":{"openalex":"https://openalex.org/W1998958723","doi":"https://doi.org/10.1155/asp/2006/19514","mag":"1998958723"},"language":"en","primary_location":{"id":"doi:10.1155/asp/2006/19514","is_oa":true,"landing_page_url":"https://doi.org/10.1155/asp/2006/19514","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/ASP/2006/19514","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/ASP/2006/19514","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108051851","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0002-2024-1130"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Lei Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708-0291, USA","National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an, 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708-0291, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100827063","display_name":"Shunjun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunjun Wu","raw_affiliation_strings":["National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an, 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020544206","display_name":"Da\u2010Zheng Feng","orcid":"https://orcid.org/0000-0002-0168-8340"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazheng Feng","raw_affiliation_strings":["National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an, 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079278406","display_name":"Linrang Zhang","orcid":"https://orcid.org/0000-0003-1368-001X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linrang Zhang","raw_affiliation_strings":["National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an, 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an, 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108051851"],"corresponding_institution_ids":["https://openalex.org/I149594827","https://openalex.org/I170897317"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.6688,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.72691472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2006","issue":"1","first_page":null,"last_page":null},"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":0.9991000294685364,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/recursion","display_name":"Recursion (computer science)","score":0.7627859711647034},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6978938579559326},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.6540365815162659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.652834951877594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6419727206230164},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.6270744800567627},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.5918003916740417},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.58282870054245},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5486142039299011},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5003318786621094},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48648661375045776},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.46891626715660095},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.41078975796699524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3331480324268341},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3323013186454773},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.2468353509902954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17734095454216003},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11432197690010071}],"concepts":[{"id":"https://openalex.org/C168773036","wikidata":"https://www.wikidata.org/wiki/Q264164","display_name":"Recursion (computer science)","level":2,"score":0.7627859711647034},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6978938579559326},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.6540365815162659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.652834951877594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6419727206230164},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.6270744800567627},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.5918003916740417},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.58282870054245},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5486142039299011},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5003318786621094},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48648661375045776},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.46891626715660095},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.41078975796699524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3331480324268341},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3323013186454773},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.2468353509902954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17734095454216003},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11432197690010071},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/asp/2006/19514","is_oa":true,"landing_page_url":"https://doi.org/10.1155/asp/2006/19514","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/ASP/2006/19514","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.715.877","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.715.877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.leihuang-hit.net/Publications_files/Journal/%5BEURASIP%5DComputationally%20efficient%20direction-of-arrival%20estimation%20based%20on%20partial%20a%20priori%20knowledge%20of%20signal%20sources.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1155/asp/2006/19514","is_oa":true,"landing_page_url":"https://doi.org/10.1155/asp/2006/19514","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/ASP/2006/19514","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1998958723.pdf","grobid_xml":"https://content.openalex.org/works/W1998958723.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1514558801","https://openalex.org/W1521023302","https://openalex.org/W1572985714","https://openalex.org/W1612768858","https://openalex.org/W1978671687","https://openalex.org/W2059083095","https://openalex.org/W2081533638","https://openalex.org/W2096490398","https://openalex.org/W2131634726","https://openalex.org/W2136274821","https://openalex.org/W2140248409","https://openalex.org/W2149755721","https://openalex.org/W2153260593","https://openalex.org/W2158814901","https://openalex.org/W2163645146","https://openalex.org/W2173500095","https://openalex.org/W2503474997"],"related_works":["https://openalex.org/W2384242095","https://openalex.org/W2162716418","https://openalex.org/W1823462200","https://openalex.org/W2147322748","https://openalex.org/W2382332007","https://openalex.org/W2360754927","https://openalex.org/W2355891660","https://openalex.org/W2770356030","https://openalex.org/W2360792763","https://openalex.org/W3116345762"],"abstract_inverted_index":{"A":[0],"computationally":[1,74],"efficient":[2],"method":[3,36,72],"is":[4,73],"proposed":[5,35,71,86],"for":[6],"estimating":[7],"the":[8,30,34,39,43,50,60,70,82,85],"directions-of-arrival":[9],"(DOAs)":[10],"of":[11,26,42,59,84],"signals":[12],"impinging":[13],"on":[14,21],"a":[15,23],"uniform":[16],"linear":[17],"array":[18,61],"(ULA),":[19],"based":[20],"partial":[22],"priori":[24],"knowledge":[25],"signal":[27],"sources.":[28],"Unlike":[29],"classical":[31],"MUSIC":[32],"algorithm,":[33],"merely":[37],"needs":[38],"forward":[40],"recursion":[41],"multistage":[44],"Wiener":[45],"filter":[46],"(MSWF)":[47],"to":[48,80],"find":[49],"noise":[51],"subspace":[52],"and":[53],"does":[54],"not":[55],"involve":[56],"an":[57],"estimate":[58],"covariance":[62],"matrix":[63],"as":[64,66],"well":[65],"its":[67],"eigendecomposition.":[68],"Thereby,":[69],"efficient.":[75],"Numerical":[76],"results":[77],"are":[78],"given":[79],"illustrate":[81],"performance":[83],"method.":[87]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
