{"id":"https://openalex.org/W2905504262","doi":"https://doi.org/10.1109/tvt.2018.2885596","title":"Robust Covariance Matrix Reconstruction Algorithm for Time-Domain Wideband Adaptive Beamforming","display_name":"Robust Covariance Matrix Reconstruction Algorithm for Time-Domain Wideband Adaptive Beamforming","publication_year":2018,"publication_date":"2018-12-07","ids":{"openalex":"https://openalex.org/W2905504262","doi":"https://doi.org/10.1109/tvt.2018.2885596","mag":"2905504262"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2018.2885596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2018.2885596","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","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/A5100338463","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-6581-2304"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6581-2304","affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706919","display_name":"Yixin Yang","orcid":"https://orcid.org/0000-0001-6180-676X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixin Yang","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6180-676X","affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016853326","display_name":"Yong Wang","orcid":"https://orcid.org/0000-0002-4459-6526"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wang","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4459-6526","affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111435154","display_name":"Yuanliang Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanliang Ma","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062562417","display_name":"Long Yang","orcid":"https://orcid.org/0000-0003-0057-7355"},"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":"Long Yang","raw_affiliation_strings":["School of Mechanical Engineering, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1482,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.80308725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"68","issue":"2","first_page":"1405","last_page":"1416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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/T10860","display_name":"Speech and Audio Processing","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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9997000098228455,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.7644767761230469},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6752752065658569},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.6208885312080383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5934939980506897},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5793617963790894},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4773987829685211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4265854060649872},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.41381603479385376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39453399181365967},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35302579402923584},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.24791505932807922},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15540525317192078},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11847108602523804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0779118537902832}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.7644767761230469},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6752752065658569},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.6208885312080383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5934939980506897},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5793617963790894},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4773987829685211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4265854060649872},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.41381603479385376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39453399181365967},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35302579402923584},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.24791505932807922},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15540525317192078},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11847108602523804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0779118537902832},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2018.2885596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2018.2885596","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4771617429","display_name":null,"funder_award_id":"11527809","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8579789630","display_name":null,"funder_award_id":"11604259","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1498702872","https://openalex.org/W1971846076","https://openalex.org/W2017583719","https://openalex.org/W2043833125","https://openalex.org/W2046356058","https://openalex.org/W2048201221","https://openalex.org/W2065296125","https://openalex.org/W2077602393","https://openalex.org/W2081472029","https://openalex.org/W2113168978","https://openalex.org/W2117559043","https://openalex.org/W2139419267","https://openalex.org/W2144244295","https://openalex.org/W2146575322","https://openalex.org/W2332463418","https://openalex.org/W2410807746","https://openalex.org/W2468956930","https://openalex.org/W2549963987","https://openalex.org/W2616555170","https://openalex.org/W2621898297","https://openalex.org/W4256245490","https://openalex.org/W6729600840"],"related_works":["https://openalex.org/W818226659","https://openalex.org/W2996333928","https://openalex.org/W2009075871","https://openalex.org/W2349737036","https://openalex.org/W2132841313","https://openalex.org/W2518591292","https://openalex.org/W2105408150","https://openalex.org/W1976800395","https://openalex.org/W3013496310","https://openalex.org/W2606661315"],"abstract_inverted_index":{"Several":[0],"time-domain":[1],"wideband":[2,43,73,175,235],"beamformers":[3,36],"with":[4,233],"the":[5,15,18,23,30,54,60,65,81,102,107,112,122,138,143,146,155,166,173,188,192,196,204,222,226],"response":[6,169],"variation":[7],"(RV)":[8],"constraint":[9,158],"were":[10],"recently":[11],"proposed":[12,174,227],"to":[13,41,52,58],"constrain":[14],"consistency":[16],"of":[17,26,47,145,163,172,187,195,206],"main":[19],"lobe":[20],"responses":[21],"over":[22,111],"frequency":[24],"band":[25],"interest.":[27],"However,":[28],"when":[29],"model":[31,82],"mismatch":[32,83],"is":[33,131,142,213],"severe,":[34],"these":[35],"may":[37],"not":[38],"be":[39,178],"robust":[40,201],"suppress":[42],"interferences":[44],"effectively.":[45],"Instead":[46],"adding":[48],"more":[49],"uncertainty":[50],"constraints":[51],"enhance":[53],"robustness,":[55],"we":[56,89,100,120],"attempt":[57],"remove":[59],"desired":[61,123,149],"signal":[62,124,150],"component":[63],"from":[64],"stacked":[66,74,94,148],"sample":[67],"covariance":[68,76,151],"matrix":[69,77],"by":[70,104],"reconstructing":[71],"a":[72,91,160,181,185,217],"interference-plus-noise":[75],"(SINCM).":[78],"To":[79],"overcome":[80],"for":[84],"an":[85,133],"array":[86,139],"without":[87],"calibration,":[88],"introduce":[90],"possible":[92,108],"mismatched":[93,109],"steering":[95],"vector":[96,171],"(SSV)":[97],"set,":[98],"and":[99,116,191,221],"reconstruct":[101],"SINCM":[103,190],"integrating":[105],"all":[106,117],"SSVs":[110],"interference":[113],"angular":[114],"sector":[115],"subbands.":[118],"Then":[119],"correct":[121],"SSV":[125,194,208],"using":[126],"two":[127],"different":[128],"approaches,":[129],"one":[130],"solving":[132],"optimization":[134],"problem":[135],"that":[136,225],"maximizes":[137],"output,":[140],"another":[141],"eigen-decomposition":[144],"reconstructed":[147,189],"matrix.":[152],"By":[153],"transforming":[154],"RV":[156],"inequality":[157],"into":[159],"weighted":[161],"part":[162],"objective":[164],"function,":[165],"finite":[167],"impulse":[168],"coefficient":[170],"beamformer":[176,228],"can":[177],"calculated":[179],"in":[180,203],"closed":[182],"form":[183],"as":[184],"function":[186],"estimated":[193],"signal-of-interest.":[197],"Numerical":[198],"simulations":[199],"show":[200],"performance":[202,231],"case":[205],"unknown":[207],"mismatch.":[209],"An":[210],"acoustic":[211],"experiment":[212],"carried":[214],"out":[215],"on":[216],"linear":[218],"hydrophone":[219],"array,":[220],"result":[223],"validates":[224],"provides":[229],"better":[230],"compared":[232],"other":[234],"adaptive":[236],"beamformers.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
