{"id":"https://openalex.org/W3034953580","doi":"https://doi.org/10.1109/sam48682.2020.9104248","title":"DOA estimation using sparse Bayesian learning for colocated MIMO radar with dynamic waveforms","display_name":"DOA estimation using sparse Bayesian learning for colocated MIMO radar with dynamic waveforms","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3034953580","doi":"https://doi.org/10.1109/sam48682.2020.9104248","mag":"3034953580"},"language":"en","primary_location":{"id":"doi:10.1109/sam48682.2020.9104248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060001380","display_name":"Bingfan Liu","orcid":"https://orcid.org/0000-0002-4634-0559"},"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":"Bingfan Liu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046538404","display_name":"Baixiao Chen","orcid":"https://orcid.org/0000-0001-7320-327X"},"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":"Baixiao Chen","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102966656","display_name":"Minglei Yang","orcid":"https://orcid.org/0000-0002-9637-8088"},"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":"Minglei Yang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101944801","display_name":"Hui Xu","orcid":"https://orcid.org/0000-0003-3433-540X"},"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":"Hui Xu","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.05444033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":1.0,"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/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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9983999729156494,"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/waveform","display_name":"Waveform","score":0.855067253112793},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6922721266746521},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6558598875999451},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6509425640106201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6084368228912354},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5673568248748779},{"id":"https://openalex.org/keywords/pulse-repetition-frequency","display_name":"Pulse repetition frequency","score":0.4374052584171295},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24296647310256958},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.19345000386238098}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.855067253112793},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6922721266746521},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6558598875999451},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6509425640106201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6084368228912354},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5673568248748779},{"id":"https://openalex.org/C182862853","wikidata":"https://www.wikidata.org/wiki/Q575887","display_name":"Pulse repetition frequency","level":3,"score":0.4374052584171295},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24296647310256958},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.19345000386238098},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam48682.2020.9104248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W65255600","https://openalex.org/W1975902562","https://openalex.org/W1997222146","https://openalex.org/W2018744547","https://openalex.org/W2083506609","https://openalex.org/W2113638573","https://openalex.org/W2114694381","https://openalex.org/W2132679193","https://openalex.org/W2146549162","https://openalex.org/W2296319761","https://openalex.org/W2797475427","https://openalex.org/W2808207049","https://openalex.org/W2885847987","https://openalex.org/W4250589301","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2176409448","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W1592842440","https://openalex.org/W1182702830","https://openalex.org/W3116301466"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,66],"proposed":[4],"a":[5,19,101],"direction":[6],"of":[7,55],"arrival":[8],"(DOA)":[9],"estimation":[10,35,53,69,109],"method":[11,24,36,58],"based":[12],"on":[13],"sparse":[14],"Bayesian":[15],"learning":[16],"(SBL)":[17],"and":[18,106],"dynamic":[20],"transmitted":[21,45,63,75,80],"waveform":[22],"design":[23],"for":[25],"colocated":[26],"multiple-input":[27],"multiple-output":[28],"(MIMO)":[29],"radar.":[30],"First,":[31],"the":[32,40,52,56,62,68,82,96,112],"SBL":[33,57,113],"DOA":[34,108],"is":[37,59],"introduced":[38],"into":[39],"MIMO":[41],"radar":[42],"with":[43,92],"arbitrary":[44],"waveforms.":[46,64],"Our":[47],"theoretical":[48],"derivation":[49],"shows":[50],"that":[51,90],"error":[54,70,110],"related":[60],"to":[61,71],"Then,":[65],"minimize":[67],"obtain":[72],"an":[73],"updated":[74],"waveforms,":[76,95],"which":[77],"will":[78],"be":[79],"in":[81],"next":[83],"pulse":[84],"repetition":[85],"period.":[86],"Numerical":[87],"simulations":[88],"show":[89],"compared":[91],"traditional":[93],"orthogonal":[94],"optimized":[97],"waveforms":[98],"could":[99],"achieve":[100],"lower":[102],"Cram\u00e9r-Rao":[103],"bound":[104],"(CRB)":[105],"smaller":[107],"using":[111],"method.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
