{"id":"https://openalex.org/W2753756265","doi":"https://doi.org/10.1109/access.2017.2747153","title":"Theoretical and Experimental Comparison of Off-Grid Sparse Bayesian Direction-of-Arrival Estimation Algorithms","display_name":"Theoretical and Experimental Comparison of Off-Grid Sparse Bayesian Direction-of-Arrival Estimation Algorithms","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2753756265","doi":"https://doi.org/10.1109/access.2017.2747153","mag":"2753756265"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2747153","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2747153","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2747153","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040496777","display_name":"Anup Das","orcid":"https://orcid.org/0000-0002-8897-7021"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anup Das","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8897-7021","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040496777"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.6132,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.9113129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"5","issue":null,"first_page":"18075","last_page":"18087"},"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/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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9991999864578247,"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":0.8289568424224854},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7367595434188843},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.6405216455459595},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.6312347650527954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6058206558227539},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5739981532096863},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5038956999778748},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.45261743664741516},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.43369102478027344},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.309481680393219},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29741495847702026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20284059643745422}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.8289568424224854},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7367595434188843},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.6405216455459595},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.6312347650527954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6058206558227539},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5739981532096863},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5038956999778748},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.45261743664741516},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.43369102478027344},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.309481680393219},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29741495847702026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20284059643745422},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2747153","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2747153","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b47b008ac33141408118a20333a6b2dc","is_oa":true,"landing_page_url":"https://doaj.org/article/b47b008ac33141408118a20333a6b2dc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 18075-18087 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2747153","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2747153","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life below water","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327457","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W866015105","https://openalex.org/W1965392255","https://openalex.org/W1972406251","https://openalex.org/W1974718273","https://openalex.org/W1974774078","https://openalex.org/W1986195997","https://openalex.org/W1994477821","https://openalex.org/W2000032296","https://openalex.org/W2000721204","https://openalex.org/W2010513730","https://openalex.org/W2016625067","https://openalex.org/W2028823365","https://openalex.org/W2034829035","https://openalex.org/W2040539862","https://openalex.org/W2061725062","https://openalex.org/W2065656021","https://openalex.org/W2066218102","https://openalex.org/W2068512312","https://openalex.org/W2074054045","https://openalex.org/W2109449402","https://openalex.org/W2111977453","https://openalex.org/W2113638573","https://openalex.org/W2115141757","https://openalex.org/W2116615181","https://openalex.org/W2122466069","https://openalex.org/W2128131274","https://openalex.org/W2128256785","https://openalex.org/W2139451096","https://openalex.org/W2145256812","https://openalex.org/W2146000945","https://openalex.org/W2152279006","https://openalex.org/W2161135203","https://openalex.org/W2162409952","https://openalex.org/W2164696938","https://openalex.org/W2166221887","https://openalex.org/W2171534739","https://openalex.org/W2294649896","https://openalex.org/W2483969342","https://openalex.org/W2591434033","https://openalex.org/W2621621262","https://openalex.org/W2625541168","https://openalex.org/W4255098125","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4389724018","https://openalex.org/W2585557503","https://openalex.org/W2169354510","https://openalex.org/W3128856671","https://openalex.org/W4389474210","https://openalex.org/W1967296369","https://openalex.org/W4299934179"],"abstract_inverted_index":{"Off-grid":[0],"sparse":[1,100],"Bayesian":[2,33,101],"learning":[3],"algorithms":[4,29,34,48,104,146,191,218],"for":[5,84,143,149,163,172,188,267],"estimating":[6],"the":[7,62,70,79,82,93,114,122,127,139,145,156,159,164,173,181,184,190,198,201,213,217,222,226,233,239,243,251,255,261,264,285],"directions-of-arrival":[8],"(DOAs)":[9],"of":[10,16,38,65,138,158,183,215,221,263],"multiple":[11,150],"signals":[12,67,71,244,256],"using":[13],"an":[14,273],"array":[15],"sensors":[17],"are":[18,30,49,72,88,105,245,257],"attractive":[19],"in":[20,81,219,225,272],"practice":[21],"due":[22],"to":[23,200,211,238],"three":[24],"primary":[25],"reasons.":[26],"First,":[27],"these":[28,47],"fully":[31],"automatic":[32],"and":[35,121,248],"hence":[36],"tuning":[37],"regularization":[39],"parameters":[40,142,162,187],"(hyperparameters)":[41],"is":[42,111,124,147,153,167,177,207,230,277],"not":[43,89],"necessary.":[44],"Second,":[45],"since":[46],"based":[50,112,125],"on":[51,113,126],"sparsity,":[52],"they":[53,75],"can":[54,76],"produce":[55],"high":[56,268],"accuracy":[57],"DOA":[58,102,227,270],"estimates":[59],"by":[60,279],"exploiting":[61],"spatial":[63],"sparsity":[64],"acoustic":[66,288],"even":[68],"when":[69,194,242,254],"coherent.":[73],"Third,":[74],"also":[77,178,208],"estimate":[78],"offset":[80],"DOAs":[83,87],"signals,":[85],"whose":[86],"exactly":[90],"aligned":[91],"with":[92],"steering":[94],"vectors.":[95],"Two":[96],"previously":[97],"proposed":[98],"off-grid":[99,109,140,160,185],"estimation":[103,271],"considered.":[106],"The":[107,133],"first":[108],"model":[110],"Taylor":[115],"series":[116],"expansion":[117],"method":[118,130],"(OGSBL-T":[119],"algorithm)":[120],"second":[123],"linear":[128],"interpolation":[129],"(OGSBL-I":[131],"algorithm).":[132],"Cramer-Rao":[134],"lower":[135],"bound":[136],"(CRLB)":[137],"bias":[141,161,186],"both":[144,189,216],"derived":[148],"snapshots.":[151],"It":[152,176,229],"shown":[154,179,231],"that":[155,171,180,232],"CRLB":[157],"OGSBL-T":[165,234,265],"algorithm":[166,235,241,253,266],"significantly":[168],"less":[169],"than":[170,250],"OGSBL-I":[174,240,252],"algorithm.":[175],"CRLBs":[182],"get":[192],"worse":[193],"we":[195],"move":[196],"from":[197,284],"broadside":[199,247],"endfire":[202],"directions.":[203],"A":[204],"simulation":[205],"study":[206],"carried":[209],"out":[210],"characterize":[212],"performances":[214],"terms":[220],"root-meansquared":[223],"error":[224],"estimates.":[228],"performs":[236],"comparably":[237],"relatively":[246,258],"better":[249],"endfire.":[259],"Finally,":[260],"application":[262],"resolution":[269],"underwater":[274],"communication":[275],"system":[276],"demonstrated":[278],"analyzing":[280],"passive":[281],"sonar":[282],"data":[283],"SWellEx-96":[286],"ocean":[287],"experiment.":[289]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}