{"id":"https://openalex.org/W3202922703","doi":"https://doi.org/10.1145/3458380.3458411","title":"Underdetermined 2D DOA Estimation Based on Bi-directional Parallel Sparse Linear Array with Reduced Mutual Coupling","display_name":"Underdetermined 2D DOA Estimation Based on Bi-directional Parallel Sparse Linear Array with Reduced Mutual Coupling","publication_year":2021,"publication_date":"2021-02-26","ids":{"openalex":"https://openalex.org/W3202922703","doi":"https://doi.org/10.1145/3458380.3458411","mag":"3202922703"},"language":"en","primary_location":{"id":"doi:10.1145/3458380.3458411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458380.3458411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Digital Signal Processing","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/A5100379830","display_name":"Geng Wang","orcid":"https://orcid.org/0000-0002-6876-3317"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Geng Wang","raw_affiliation_strings":["Air Force Early Warning Academy and University of Chicago, China"],"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy and University of Chicago, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031780671","display_name":"Changxiao Chen","orcid":"https://orcid.org/0000-0002-3616-6374"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changxiao Chen","raw_affiliation_strings":["Air Force Early Warning Academy, China"],"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101296976","display_name":"Yi He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi He","raw_affiliation_strings":["Naval Rearch Academy, China"],"affiliations":[{"raw_affiliation_string":"Naval Rearch Academy, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112655147","display_name":"Mingyue Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyue Feng","raw_affiliation_strings":["Air Force Early Warning Academy, China"],"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829722","display_name":"Ying Jiang","orcid":"https://orcid.org/0000-0002-7026-0073"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Jiang","raw_affiliation_strings":["Unit 94654 of PLA, China"],"affiliations":[{"raw_affiliation_string":"Unit 94654 of PLA, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013549508","display_name":"Zheng Li","orcid":"https://orcid.org/0000-0002-0050-7026"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Li","raw_affiliation_strings":["Air Force Early Warning Academy, China"],"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100379830"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12765382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"183"},"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.9947999715805054,"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/underdetermined-system","display_name":"Underdetermined system","score":0.9030584096908569},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6764443516731262},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6242651343345642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6185871362686157},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5665369033813477},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5568093657493591},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5562223196029663},{"id":"https://openalex.org/keywords/degrees-of-freedom","display_name":"Degrees of freedom (physics and chemistry)","score":0.5514576435089111},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4943733215332031},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.4608156085014343},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4520646035671234},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4511220157146454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32910025119781494},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10046079754829407},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.0681547224521637},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06797188520431519},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06581130623817444},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05835515260696411}],"concepts":[{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.9030584096908569},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6764443516731262},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6242651343345642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6185871362686157},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5665369033813477},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5568093657493591},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5562223196029663},{"id":"https://openalex.org/C208081375","wikidata":"https://www.wikidata.org/wiki/Q274502","display_name":"Degrees of freedom (physics and chemistry)","level":2,"score":0.5514576435089111},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4943733215332031},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.4608156085014343},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4520646035671234},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4511220157146454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32910025119781494},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10046079754829407},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0681547224521637},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06797188520431519},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06581130623817444},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05835515260696411},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3458380.3458411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458380.3458411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2098174516","https://openalex.org/W2113945469","https://openalex.org/W2164390589","https://openalex.org/W2342925881","https://openalex.org/W2605565881","https://openalex.org/W2607740018","https://openalex.org/W2618008015","https://openalex.org/W2751732051","https://openalex.org/W2794105211","https://openalex.org/W2808559592","https://openalex.org/W2890087262","https://openalex.org/W2892433162","https://openalex.org/W2897804608","https://openalex.org/W2962965396"],"related_works":["https://openalex.org/W2372042310","https://openalex.org/W2011972562","https://openalex.org/W2045397219","https://openalex.org/W2009153891","https://openalex.org/W2042828345","https://openalex.org/W2774469519","https://openalex.org/W4286229668","https://openalex.org/W4312496714","https://openalex.org/W3091243236","https://openalex.org/W2938571995"],"abstract_inverted_index":{"Compared":[0],"with":[1,16],"uniform":[2],"arrays,":[3],"sparse":[4,27,63,84],"arrays":[5],"can":[6],"achieve":[7,31],"same":[8],"estimation":[9,36,42,81,107,110],"accuracy":[10,43],"and":[11,19,59,108],"degrees":[12],"of":[13,44,82,103],"freedom":[14],"(DOFs)":[15],"less":[17],"sensors":[18],"reduced":[20],"mutual":[21],"coupling,":[22],"so":[23],"a":[24],"novel":[25],"parallel":[26,83],"linear":[28,85],"array":[29,86],"to":[30],"undetermined":[32],"two-dimensional":[33],"(2-D)":[34],"DOA":[35,46,67,75,80,106],"is":[37,87,94],"proposed.":[38,88],"To":[39],"improve":[40],"the":[41],"sparsity-based":[45],"estimator,":[47],"this":[48],"paper":[49],"introduce":[50],"Low-rank":[51],"matrix":[52,57],"model":[53],"for":[54,65,78],"precise":[55],"covariance":[56,61],"reconstruction":[58],"propose":[60],"vector":[62],"representation(CVSR)":[64],"1-D":[66,74],"estimation.":[68],"Moreover,":[69],"TLS-CVSR":[70,97],"based":[71],"on":[72],"proposed":[73],"estimator":[76],"CVSR":[77],"2-D":[79,105],"By":[89],"implementing":[90],"simulation":[91],"experiments,":[92],"it":[93],"demonstrated":[95],"that":[96],"have":[98],"superior":[99],"performance":[100],"in":[101],"terms":[102],"underdetermined":[104],"high":[109],"accuracy.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}