{"id":"https://openalex.org/W3132499626","doi":"https://doi.org/10.1109/tgrs.2021.3056187","title":"Compressive Beamforming Based on Multiconstraint Bayesian Framework","display_name":"Compressive Beamforming Based on Multiconstraint Bayesian Framework","publication_year":2021,"publication_date":"2021-02-13","ids":{"openalex":"https://openalex.org/W3132499626","doi":"https://doi.org/10.1109/tgrs.2021.3056187","mag":"3132499626"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3056187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3056187","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5100744327","display_name":"Chao Li","orcid":"https://orcid.org/0000-0001-8721-4826"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["Acoustic Science and Technology Laboratory, College of Underwater Acoustic Engineering, Key Laboratory of Marine Information Acquisition and Security, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Acoustic Science and Technology Laboratory, College of Underwater Acoustic Engineering, Key Laboratory of Marine Information Acquisition and Security, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225","https://openalex.org/I890469752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031687614","display_name":"Tian Zhou","orcid":"https://orcid.org/0000-0001-8403-9743"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Zhou","raw_affiliation_strings":["Acoustic Science and Technology Laboratory, College of Underwater Acoustic Engineering, Key Laboratory of Marine Information Acquisition and Security, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8403-9743","affiliations":[{"raw_affiliation_string":"Acoustic Science and Technology Laboratory, College of Underwater Acoustic Engineering, Key Laboratory of Marine Information Acquisition and Security, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225","https://openalex.org/I890469752"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018001805","display_name":"Qijia Guo","orcid":"https://orcid.org/0000-0001-5756-6839"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijia Guo","raw_affiliation_strings":["Acoustic Science and Technology Laboratory, College of Underwater Acoustic Engineering, Key Laboratory of Marine Information Acquisition and Security, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-5756-6839","affiliations":[{"raw_affiliation_string":"Acoustic Science and Technology Laboratory, College of Underwater Acoustic Engineering, Key Laboratory of Marine Information Acquisition and Security, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225","https://openalex.org/I890469752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079369071","display_name":"Hong\u2010Liang Cui","orcid":"https://orcid.org/0000-0003-2443-5167"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Liang Cui","raw_affiliation_strings":["Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, China","College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-2443-5167","affiliations":[{"raw_affiliation_string":"Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]},{"raw_affiliation_string":"College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1977,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77736846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"59","issue":"11","first_page":"9209","last_page":"9223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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/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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7341550588607788},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.6510158181190491},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6349375247955322},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.607960045337677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5606419444084167},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5122967958450317},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5077494382858276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5063647031784058},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4250991642475128},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3842943608760834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34229278564453125},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13512974977493286}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7341550588607788},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6510158181190491},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6349375247955322},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.607960045337677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5606419444084167},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5122967958450317},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5077494382858276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5063647031784058},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4250991642475128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3842943608760834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34229278564453125},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13512974977493286},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3056187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3056187","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1518219065","display_name":null,"funder_award_id":"LBH-Z20127","funder_id":"https://openalex.org/F4320322295","funder_display_name":"Postdoctoral Foundation of Hei Long Jiang Province"},{"id":"https://openalex.org/G1900482909","display_name":null,"funder_award_id":"3072020CFJ0505","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6993862690","display_name":null,"funder_award_id":"52001097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8607293126","display_name":null,"funder_award_id":"U1709203","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"},{"id":"https://openalex.org/F4320322295","display_name":"Postdoctoral Foundation of Hei Long Jiang Province","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W618562063","https://openalex.org/W866015105","https://openalex.org/W1242890019","https://openalex.org/W1506692308","https://openalex.org/W1921900885","https://openalex.org/W1946620893","https://openalex.org/W1961498716","https://openalex.org/W1962935446","https://openalex.org/W1972406251","https://openalex.org/W1973650219","https://openalex.org/W1978333359","https://openalex.org/W1982485815","https://openalex.org/W1993577932","https://openalex.org/W2021110810","https://openalex.org/W2033419225","https://openalex.org/W2061725062","https://openalex.org/W2063215935","https://openalex.org/W2065364024","https://openalex.org/W2065513175","https://openalex.org/W2071284784","https://openalex.org/W2079020153","https://openalex.org/W2101675075","https://openalex.org/W2111273705","https://openalex.org/W2112258609","https://openalex.org/W2112855412","https://openalex.org/W2117881455","https://openalex.org/W2120991191","https://openalex.org/W2122197172","https://openalex.org/W2128131274","https://openalex.org/W2132212955","https://openalex.org/W2133665775","https://openalex.org/W2134290918","https://openalex.org/W2135046866","https://openalex.org/W2145256812","https://openalex.org/W2145856765","https://openalex.org/W2146000945","https://openalex.org/W2147497470","https://openalex.org/W2162409952","https://openalex.org/W2206943746","https://openalex.org/W2241490281","https://openalex.org/W2290170958","https://openalex.org/W2337405428","https://openalex.org/W2337562405","https://openalex.org/W2464941346","https://openalex.org/W2511885285","https://openalex.org/W2522427398","https://openalex.org/W2529542519","https://openalex.org/W2558677530","https://openalex.org/W2587156744","https://openalex.org/W2596873572","https://openalex.org/W2599580024","https://openalex.org/W2605368703","https://openalex.org/W2744146349","https://openalex.org/W2763820948","https://openalex.org/W2765935802","https://openalex.org/W2776751579","https://openalex.org/W2783358845","https://openalex.org/W2790442629","https://openalex.org/W2793412916","https://openalex.org/W2802667367","https://openalex.org/W2809883623","https://openalex.org/W2810871807","https://openalex.org/W2907401811","https://openalex.org/W2914382372","https://openalex.org/W2914560405","https://openalex.org/W2943231088","https://openalex.org/W2945966242","https://openalex.org/W2962950853","https://openalex.org/W2967947586","https://openalex.org/W2978819667","https://openalex.org/W3012064252","https://openalex.org/W3098352114","https://openalex.org/W3104217244","https://openalex.org/W3104326121","https://openalex.org/W4241068368","https://openalex.org/W4256312447","https://openalex.org/W6719406028","https://openalex.org/W6758970146","https://openalex.org/W6762025927","https://openalex.org/W6766796090"],"related_works":["https://openalex.org/W2986034714","https://openalex.org/W1500257147","https://openalex.org/W1919985504","https://openalex.org/W2407375987","https://openalex.org/W2950975704","https://openalex.org/W3049691116","https://openalex.org/W2010643158","https://openalex.org/W2505726097","https://openalex.org/W2106867672","https://openalex.org/W4310268968"],"abstract_inverted_index":{"Compressive":[0],"sensing":[1],"(CS)":[2],"is":[3,116,193],"a":[4,27,112,137,189],"promising":[5],"technique":[6],"recognized":[7],"for":[8,94,103],"its":[9,30],"merits":[10],"in":[11,156,162,222],"recovering":[12],"sparse":[13,68,158],"signals":[14,105],"with":[15,77,206,212],"enhanced":[16,225],"resolution":[17,73,226],"entailing":[18],"specific":[19],"constraints.":[20],"In":[21,109,187],"recasting":[22],"the":[23,46,78,88,99,120,128,133,142,149,163,175,182,197,200],"CS":[24,65],"model":[25,123],"within":[26],"Bayesian":[28,64,67],"framework,":[29],"formulation":[31],"can":[32,144,152],"be":[33,145,153],"interpreted":[34],"and":[35,74,90,130,148,181,215,227],"solved":[36],"under":[37],"various":[38],"prior":[39],"assumptions":[40],"that":[41],"may":[42],"correspond":[43],"to,":[44],"e.g.,":[45],"<inline-formula":[47,56],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[48,57],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[49,58],"<tex-math":[50,59],"notation=\"LaTeX\">$\\mathcal":[51,60],"{L}_{1}$":[52,61],"</tex-math></inline-formula>":[53,62],"or":[54],"reweighted":[55],"constraint.":[63],"(or":[66],"learning,":[69],"BSL)":[70],"achieves":[71,219],"improved":[72,220],"robustness":[75],"compared":[76],"deterministic":[79],"CS.":[80],"Therefore,":[81],"BSL":[82,114],"has":[83],"been":[84],"invoked":[85,201],"to":[86,118,195],"solve":[87,119],"single":[89],"multisnapshot":[91,121,169],"beamforming":[92,122,170],"models":[93],"direction-of-arrival":[95],"(DOA)":[96],"estimation.":[97],"However,":[98],"recovery":[100],"performance":[101,221],"deteriorates":[102],"complicated":[104],"because":[106],"of":[107,132,140,199,224],"nonsparsity.":[108],"this":[110],"article,":[111],"multiconstraint":[113],"approach":[115],"proposed":[117],"(termed":[124],"M-MCRBSL),":[125],"which":[126],"reconstructs":[127],"amplitude":[129],"DOA":[131],"source":[134,143],"simultaneously.":[135],"With":[136],"proper":[138],"assembly":[139],"constraints,":[141],"represented":[146],"sparsely":[147],"transformation":[150],"coefficients":[151],"recovered":[154],"accurately":[155],"multiple":[157],"domains.":[159],"As":[160,204],"demonstrated":[161],"simulations,":[164],"M-MCRBSL":[165,211],"outperforms":[166],"other":[167],"state-of-the-art":[168],"methods":[171],"gauged":[172],"by":[173],"both":[174],"normalized":[176],"mean":[177],"square":[178],"error":[179],"(NMSE)":[180],"structural":[183],"similarity":[184],"(SSIM)":[185],"index.":[186],"particular,":[188],"deficiency":[190],"sensitivity":[191],"experiment":[192],"devised":[194],"elaborate":[196],"feasibility":[198],"invertibility":[202],"approximation.":[203],"attested":[205],"an":[207],"underwater":[208],"acoustics":[209],"experiment,":[210],"joint":[213],"identity":[214],"Haar":[216],"wavelet":[217],"constraints":[218],"terms":[223],"suppressed":[228],"interference":[229],"sources.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}