{"id":"https://openalex.org/W2981576251","doi":"https://doi.org/10.1109/access.2019.2949152","title":"Sparse Bayesian Approach for DOD and DOA Estimation With Bistatic MIMO Radar","display_name":"Sparse Bayesian Approach for DOD and DOA Estimation With Bistatic MIMO Radar","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2981576251","doi":"https://doi.org/10.1109/access.2019.2949152","mag":"2981576251"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2949152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2949152","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2019.2949152","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080917773","display_name":"Zheng Cao","orcid":"https://orcid.org/0000-0003-3444-3208"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Cao","raw_affiliation_strings":["Department of Electronic Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044896631","display_name":"Lei Zhou","orcid":"https://orcid.org/0000-0002-8499-5521"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhou","raw_affiliation_strings":["Department of Electronic Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032700528","display_name":"Jisheng Dai","orcid":"https://orcid.org/0000-0002-0462-4414"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jisheng Dai","raw_affiliation_strings":["Department of Electronic Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0000-0002-0462-4414","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.669,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.85038651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"155335","last_page":"155346"},"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":0.9994000196456909,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.7509132623672485},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6151219606399536},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5518162250518799},{"id":"https://openalex.org/keywords/bistatic-radar","display_name":"Bistatic radar","score":0.5477003455162048},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5323009490966797},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4990499019622803},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.48541364073753357},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.46980175375938416},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.43527504801750183},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.38042983412742615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23452594876289368},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.1736140251159668},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.1670394241809845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15402621030807495},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1319018304347992},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.07483577728271484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7509132623672485},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6151219606399536},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5518162250518799},{"id":"https://openalex.org/C100102862","wikidata":"https://www.wikidata.org/wiki/Q2625855","display_name":"Bistatic radar","level":4,"score":0.5477003455162048},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5323009490966797},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4990499019622803},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.48541364073753357},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.46980175375938416},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.43527504801750183},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.38042983412742615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23452594876289368},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.1736140251159668},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.1670394241809845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15402621030807495},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1319018304347992},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.07483577728271484},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2949152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2949152","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:226479e3028b4fe28b4f280419d212c3","is_oa":true,"landing_page_url":"https://doaj.org/article/226479e3028b4fe28b4f280419d212c3","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 7, Pp 155335-155346 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2949152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2949152","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G907906945","display_name":"\u57fa\u4e8e\u7a00\u758f\u8868\u793a\u7684\u5927\u89c4\u6a21MIMO\u7cfb\u7edf\u4fe1\u9053\u4f30\u8ba1\u548c\u4f20\u8f93\u65b9\u6848\u8bbe\u8ba1\u7684\u7814\u7a76","funder_award_id":"61571211","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":41,"referenced_works":["https://openalex.org/W279690930","https://openalex.org/W1571843546","https://openalex.org/W1601911781","https://openalex.org/W1989476724","https://openalex.org/W2020255126","https://openalex.org/W2021497665","https://openalex.org/W2025654678","https://openalex.org/W2028823365","https://openalex.org/W2037095848","https://openalex.org/W2068039805","https://openalex.org/W2071284784","https://openalex.org/W2083506609","https://openalex.org/W2089701475","https://openalex.org/W2096638964","https://openalex.org/W2103519107","https://openalex.org/W2110798624","https://openalex.org/W2115141757","https://openalex.org/W2130342534","https://openalex.org/W2140745209","https://openalex.org/W2148154358","https://openalex.org/W2169652966","https://openalex.org/W2189368743","https://openalex.org/W2303541268","https://openalex.org/W2319988688","https://openalex.org/W2323168390","https://openalex.org/W2508393166","https://openalex.org/W2513373031","https://openalex.org/W2547733646","https://openalex.org/W2568346404","https://openalex.org/W2633610211","https://openalex.org/W2753756265","https://openalex.org/W2768388424","https://openalex.org/W2768966190","https://openalex.org/W2778094290","https://openalex.org/W2797475427","https://openalex.org/W2799083955","https://openalex.org/W2808207049","https://openalex.org/W2887288499","https://openalex.org/W2899501937","https://openalex.org/W2962727817","https://openalex.org/W3102166889"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W3081214562","https://openalex.org/W4310268968","https://openalex.org/W2950975704","https://openalex.org/W4297815943","https://openalex.org/W2053745677"],"abstract_inverted_index":{"This":[0,45],"study":[1],"addresses":[2],"the":[3,20,49,57,83,91,94,102,115,120,132,137,148,174,183],"problem":[4],"of":[5,22,28,48,82,139,185],"joint":[6,40,80,175],"direction-of-departure":[7],"(DOD)":[8],"and":[9,42,53,73,85,101,147,177],"direction-of-arrival":[10],"(DOA)":[11],"estimation":[12,81,179],"with":[13],"bistatic":[14],"multiple-input":[15],"multiple-output":[16],"(MIMO)":[17],"radar.":[18,89],"To":[19,60,113],"best":[21],"our":[23,170],"knowledge,":[24],"a":[25,66,109,126,156],"limited":[26,188],"number":[27],"sparse":[29],"Bayesian":[30,164],"learning":[31],"(SBL)-based":[32],"methods":[33],"exist":[34],"that":[35,169],"can":[36,97,107,151,172],"be":[37,98,152],"applied":[38,161],"to":[39,162],"DOD":[41,84,176],"DOA":[43,86,178],"estimation.":[44],"is":[46,160],"because":[47],"heavy":[50],"computational":[51,95],"load":[52,96],"strong":[54],"correlation":[55,111],"between":[56],"nearby":[58,103],"basis.":[59,112],"overcome":[61],"these":[62],"challenges,":[63],"we":[64,123],"present":[65],"new":[67,92],"coarse":[68,121],"non-uniformly":[69],"sampled":[70],"2D":[71,104],"grid":[72,105,140,149],"propose":[74],"an":[75],"improved":[76],"SBL-based":[77],"method":[78,130,171],"for":[79],"in":[87,135,182],"MIMO":[88],"With":[90],"grid,":[93,122],"significantly":[99],"reduced,":[100],"points":[106,141,150],"provide":[108],"low":[110,186],"handle":[114],"modeling":[116],"error":[117],"derived":[118],"from":[119],"also":[124],"introduce":[125],"modified":[127],"linear":[128],"approximation":[129],"into":[131],"SBL":[133],"framework":[134],"which":[136],"locations":[138],"are":[142],"considered":[143],"as":[144],"adjustable":[145],"parameters,":[146],"updated":[153],"recursively.":[154],"Finally,":[155],"block":[157],"majorization-minimization":[158],"algorithm":[159],"perform":[163],"inference.":[165],"Experimental":[166],"results":[167],"indicate":[168],"improve":[173],"performance,":[180],"particularly":[181],"case":[184],"signal-noise-ratio,":[187],"snapshots,":[189],"or":[190],"correlated":[191],"signals.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}