{"id":"https://openalex.org/W3015222513","doi":"https://doi.org/10.1109/icassp40776.2020.9053517","title":"A Fast Sparse Covariance-Based Fitting Method for DOA Estimation via Non-Negative Least Squares","display_name":"A Fast Sparse Covariance-Based Fitting Method for DOA Estimation via Non-Negative Least Squares","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015222513","doi":"https://doi.org/10.1109/icassp40776.2020.9053517","mag":"3015222513"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5015784992","display_name":"Chundi Zheng","orcid":"https://orcid.org/0000-0002-2371-9988"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chundi Zheng","raw_affiliation_strings":["School of Electronic Information Engineering, Foshan University, Foshan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Foshan University, Foshan, China","institution_ids":["https://openalex.org/I14894300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101782306","display_name":"Huihui Chen","orcid":"https://orcid.org/0000-0003-4465-2716"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihui Chen","raw_affiliation_strings":["School of Electronic Information Engineering, Foshan University, Foshan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Foshan University, Foshan, China","institution_ids":["https://openalex.org/I14894300"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642885","display_name":"Aiguo Wang","orcid":"https://orcid.org/0000-0001-6150-8068"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiguo Wang","raw_affiliation_strings":["School of Electronic Information Engineering, Foshan University, Foshan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Foshan University, Foshan, China","institution_ids":["https://openalex.org/I14894300"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015784992"],"corresponding_institution_ids":["https://openalex.org/I14894300"],"apc_list":null,"apc_paid":null,"fwci":0.7577,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69591837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4786","last_page":"4790"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6682000160217285},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6630086898803711},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6413164138793945},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6058850884437561},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5778287649154663},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.5315403938293457},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5105984807014465},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4929652214050293},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.48348480463027954},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.45173510909080505},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4463130235671997},{"id":"https://openalex.org/keywords/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.4306909441947937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3940841555595398},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33388128876686096},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10508903861045837},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07320752739906311}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6682000160217285},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6630086898803711},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6413164138793945},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6058850884437561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5778287649154663},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.5315403938293457},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5105984807014465},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4929652214050293},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.48348480463027954},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.45173510909080505},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4463130235671997},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.4306909441947937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3940841555595398},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33388128876686096},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10508903861045837},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07320752739906311},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1518101062","https://openalex.org/W1632601927","https://openalex.org/W1985384533","https://openalex.org/W2019945856","https://openalex.org/W2028599779","https://openalex.org/W2089903406","https://openalex.org/W2105235982","https://openalex.org/W2115141757","https://openalex.org/W2120565458","https://openalex.org/W2130342534","https://openalex.org/W2131797282","https://openalex.org/W2497264409","https://openalex.org/W2557540414","https://openalex.org/W2908977817","https://openalex.org/W2963128427","https://openalex.org/W2963809997","https://openalex.org/W6631132188","https://openalex.org/W6757664868"],"related_works":["https://openalex.org/W4309156034","https://openalex.org/W2372955329","https://openalex.org/W2005988940","https://openalex.org/W2100915163","https://openalex.org/W2048681889","https://openalex.org/W3208705975","https://openalex.org/W1910942334","https://openalex.org/W2145434292","https://openalex.org/W2158568378","https://openalex.org/W3200456871"],"abstract_inverted_index":{"A":[0],"fast":[1],"sparse":[2],"covariance-based":[3],"fitting":[4],"algorithm":[5],"with":[6,87],"the":[7,16,26,30,38,44,49,61,65,80,97],"non-negative":[8,62],"least":[9],"squares":[10],"(NNLS)":[11],"form":[12],"is":[13,34,53],"proposed":[14,81],"for":[15],"direction":[17],"of":[18,25,29,64,99],"arrival":[19],"(DOA)":[20],"estimation.":[21],"The":[22],"Khatri-Rao":[23],"product":[24],"array":[27,45],"manifold":[28],"uniform":[31],"linear":[32],"arrays":[33],"utilized":[35],"to":[36],"achieve":[37],"dimension":[39],"reducing":[40],"transformation":[41],"after":[42],"vectorizing":[43],"covariance":[46],"matrix.":[47],"Furthermore,":[48],"DOA":[50],"estimation":[51],"problem":[52,58],"derived":[54],"as":[55,92,94],"a":[56,88],"NNLS":[57],"by":[59,72],"using":[60],"property":[63],"spatial":[66],"spectrum,":[67],"which":[68],"can":[69,83],"be":[70],"solved":[71],"some":[73],"efficient":[74],"solvers.":[75],"Numerical":[76],"experiments":[77],"show":[78],"that":[79],"method":[82],"obtain":[84],"high":[85],"resolution":[86],"competitive":[89],"computational":[90],"complexity,":[91],"well":[93],"works":[95],"in":[96],"presence":[98],"coherent":[100],"sources.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}