{"id":"https://openalex.org/W4225484399","doi":"https://doi.org/10.1109/tgrs.2022.3169206","title":"High-Resolution Radar Imaging of Off-Grid Maneuvering Targets Based on Parametric Sparse Bayesian Learning","display_name":"High-Resolution Radar Imaging of Off-Grid Maneuvering Targets Based on Parametric Sparse Bayesian Learning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4225484399","doi":"https://doi.org/10.1109/tgrs.2022.3169206"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3169206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3169206","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/A5076901636","display_name":"Xueru Bai","orcid":"https://orcid.org/0000-0001-9283-1810"},"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":"Xueru Bai","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-9283-1810","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103221264","display_name":"Z. Yujie","orcid":"https://orcid.org/0000-0003-1392-3069"},"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":"Yujie Zhang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-1392-3069","affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100390251","display_name":"Siqi Liu","orcid":"https://orcid.org/0009-0009-2869-2495"},"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":"Siqi Liu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi&#x2019;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":12.6472,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.98071673,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9997000098228455,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9997000098228455,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9975000023841858,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.7388157844543457},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5662469267845154},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.547446608543396},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.530014157295227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5179016590118408},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.46708011627197266},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45871666073799133},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44496795535087585},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.43558239936828613},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.42751529812812805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14404261112213135},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12236422300338745},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11466267704963684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7388157844543457},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5662469267845154},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.547446608543396},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.530014157295227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5179016590118408},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.46708011627197266},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45871666073799133},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44496795535087585},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.43558239936828613},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.42751529812812805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14404261112213135},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12236422300338745},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11466267704963684},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3169206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3169206","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/G2630173159","display_name":"\u57fa\u4e8e\u7a00\u758f\u8d1d\u53f6\u65af\u5b66\u4e60\u7684\u590d\u6742\u73af\u5883\u7a7a\u95f4\u76ee\u6807\u9ad8\u5206\u8fa8ISAR\u6210\u50cf\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3937783750","display_name":null,"funder_award_id":"62131020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7996373070","display_name":null,"funder_award_id":"61631019","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1577746338","https://openalex.org/W1972009708","https://openalex.org/W2000721204","https://openalex.org/W2000923736","https://openalex.org/W2006832476","https://openalex.org/W2029720993","https://openalex.org/W2064232121","https://openalex.org/W2071192218","https://openalex.org/W2097973875","https://openalex.org/W2103519107","https://openalex.org/W2114221796","https://openalex.org/W2114755279","https://openalex.org/W2123457453","https://openalex.org/W2161035945","https://openalex.org/W2339230339","https://openalex.org/W2346580682","https://openalex.org/W2477442921","https://openalex.org/W2512433570","https://openalex.org/W2555675992","https://openalex.org/W2586563257","https://openalex.org/W2588240548","https://openalex.org/W2737840656","https://openalex.org/W2801349651","https://openalex.org/W2808728224","https://openalex.org/W2889774027","https://openalex.org/W2890784096","https://openalex.org/W2912206059","https://openalex.org/W2955394690","https://openalex.org/W2960118934","https://openalex.org/W2968547877","https://openalex.org/W2976822415","https://openalex.org/W2982623966","https://openalex.org/W2995445161","https://openalex.org/W3040246166","https://openalex.org/W3138489083","https://openalex.org/W4212863985"],"related_works":["https://openalex.org/W2289718384","https://openalex.org/W1995675544","https://openalex.org/W3127866798","https://openalex.org/W2068427817","https://openalex.org/W4294845631","https://openalex.org/W2538333368","https://openalex.org/W2952090425","https://openalex.org/W2012121796","https://openalex.org/W2043546065","https://openalex.org/W2111813998"],"abstract_inverted_index":{"In":[0,38],"high-resolution":[1,45,139],"radar":[2,46,142],"imaging,":[3],"the":[4,27,60,71,88,94,97,100,105,110,124,131],"time-varying":[5],"Doppler":[6,72,101],"induced":[7],"by":[8,104,119],"maneuvering":[9,49,145],"targets":[10,50,146],"generally":[11],"invalidates":[12],"traditional":[13],"methods.":[14],"Although":[15],"sparse":[16],"signal":[17],"reconstruction":[18],"methods":[19,33],"can":[20],"be":[21,91],"applied":[22],"to":[23,43],"achieve":[24],"better":[25],"performance,":[26],"off-grid":[28,52,148],"problem":[29],"embedded":[30],"in":[31,55,69,151],"these":[32],"still":[34],"prohibits":[35],"well-focused":[36,141],"imaging.":[37],"this":[39],"article,":[40],"we":[41],"propose":[42],"perform":[44],"imaging":[47,143],"of":[48,74,84,99,144],"with":[51,63,93,147],"scattering":[53,75,149],"centers":[54,76,150],"a":[56,64],"Bayesian":[57],"framework.":[58],"First,":[59],"statistical":[61],"model":[62,81,111],"parametric":[65],"dictionary":[66],"is":[67,102],"established,":[68],"which":[70],"frequencies":[73],"are":[77,116],"treated":[78],"as":[79,155],"unknown":[80],"parameters":[82,112,115],"instead":[83],"being":[85],"discretized":[86],"into":[87],"grid.":[89],"To":[90],"consistent":[92],"physical":[95],"characteristics,":[96],"posterior":[98],"approximated":[103],"von":[106],"Mises":[107],"distribution.":[108],"Then,":[109],"and":[113,123,140,158],"rotation":[114],"estimated":[117],"iteratively":[118],"variational":[120],"inference":[121],"(VI)":[122],"Newton":[125],"method.":[126],"Experiments":[127],"have":[128],"demonstrated":[129],"that":[130],"proposed":[132],"method":[133],"provides":[134],"an":[135],"effective":[136],"way":[137],"for":[138],"complex":[152],"scenarios,":[153],"such":[154],"incomplete":[156],"data":[157],"low":[159],"signal-to-noise":[160],"ratio.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
