{"id":"https://openalex.org/W4210287742","doi":"https://doi.org/10.1145/3497623.3497684","title":"DOA Estimation Based On Improved Weighted Algorithm","display_name":"DOA Estimation Based On Improved Weighted Algorithm","publication_year":2021,"publication_date":"2021-10-15","ids":{"openalex":"https://openalex.org/W4210287742","doi":"https://doi.org/10.1145/3497623.3497684"},"language":"en","primary_location":{"id":"doi:10.1145/3497623.3497684","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3497623.3497684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 10th International Conference on Computing and Pattern Recognition","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/A5102002412","display_name":"Huijing Dou","orcid":"https://orcid.org/0009-0006-0369-6965"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijing Dou","raw_affiliation_strings":["Department of informatics, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of informatics, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108263877","display_name":"Jia Gao","orcid":"https://orcid.org/0009-0005-1913-9971"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Gao","raw_affiliation_strings":["Department of informatics, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of informatics, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037824734","display_name":"Gang Jian Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Ding","raw_affiliation_strings":["Department of informatics, Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of informatics, Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23154632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"375","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9977999925613403,"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/algorithm","display_name":"Algorithm","score":0.7426552772521973},{"id":"https://openalex.org/keywords/capon","display_name":"Capon","score":0.7149614691734314},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.6544637084007263},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.5812329649925232},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5505915284156799},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5141558647155762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4961279332637787},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4894463121891022},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4427207410335541},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.43506407737731934},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4151266813278198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4092639088630676},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3215353488922119},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.24930962920188904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19195809960365295},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.1636442244052887},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14068517088890076}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7426552772521973},{"id":"https://openalex.org/C2778955098","wikidata":"https://www.wikidata.org/wiki/Q594676","display_name":"Capon","level":3,"score":0.7149614691734314},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.6544637084007263},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.5812329649925232},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5505915284156799},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5141558647155762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4961279332637787},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4894463121891022},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4427207410335541},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.43506407737731934},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4151266813278198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4092639088630676},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3215353488922119},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.24930962920188904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19195809960365295},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.1636442244052887},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14068517088890076},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3497623.3497684","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3497623.3497684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 10th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1957749137","https://openalex.org/W1998071338","https://openalex.org/W2046658845","https://openalex.org/W2075890105","https://openalex.org/W2900711699","https://openalex.org/W2965003439","https://openalex.org/W2966661621"],"related_works":["https://openalex.org/W2354871183","https://openalex.org/W2386410161","https://openalex.org/W2359299668","https://openalex.org/W2384353901","https://openalex.org/W1604267224","https://openalex.org/W2040661184","https://openalex.org/W3088635414","https://openalex.org/W4362680572","https://openalex.org/W2085485585","https://openalex.org/W2355891660"],"abstract_inverted_index":{"In":[0],"the":[1,11,34,45,49,65,72,78,84,92,96,100],"case":[2],"of":[3,37,87,95,102],"low":[4,7],"SNR":[5],"and":[6,48,80],"snapshot,":[8],"combined":[9],"with":[10],"improved":[12,73],"Capon":[13,74],"algorithm,":[14],"this":[15],"paper":[16],"proposes":[17],"a":[18,58],"new":[19],"algorithm":[20,75],"based":[21],"on":[22],"weighted":[23,59],"norm":[24,88],"for":[25],"DOA":[26,103],"estimation.":[27,104],"For":[28],"narrow-band":[29],"signal,":[30,97],"we":[31],"can":[32],"construct":[33],"signal":[35,39,66],"model":[36],"target":[38],"by":[40],"using":[41],"compressed":[42],"sensing.":[43],"Because":[44],"subspace":[46],"matrix":[47,52,60],"noise":[50],"space":[51],"are":[53],"orthogonal":[54],"to":[55,63,71,76,83,90,98],"each":[56],"other,":[57],"is":[61],"constructed":[62],"decompose":[64],"into":[67],"singular":[68],"values,":[69],"according":[70,82],"determine":[77],"weight,":[79],"then":[81],"optimization":[85],"principle":[86],"minimization":[89],"solve":[91],"incident":[93],"direction":[94],"achieve":[99],"goal":[101]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}