{"id":"https://openalex.org/W4391103533","doi":"https://doi.org/10.3390/rs16020403","title":"An Off-Grid Compressive Sensing Algorithm Based on Sparse Bayesian Learning for RFPA Radar","display_name":"An Off-Grid Compressive Sensing Algorithm Based on Sparse Bayesian Learning for RFPA Radar","publication_year":2024,"publication_date":"2024-01-20","ids":{"openalex":"https://openalex.org/W4391103533","doi":"https://doi.org/10.3390/rs16020403"},"language":"en","primary_location":{"id":"doi:10.3390/rs16020403","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020403","pdf_url":"https://www.mdpi.com/2072-4292/16/2/403/pdf?version=1705905713","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/2/403/pdf?version=1705905713","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001330053","display_name":"Ju Wang","orcid":"https://orcid.org/0000-0002-3048-9949"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Wang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101907876","display_name":"Bingqi Shan","orcid":"https://orcid.org/0009-0000-3638-3486"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingqi Shan","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103032647","display_name":"Song Duan","orcid":"https://orcid.org/0000-0003-0684-6536"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Duan","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100931139","display_name":"Yi Zhao","orcid":"https://orcid.org/0000-0002-1056-6783"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhao","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100667724","display_name":"Yi Zhong","orcid":"https://orcid.org/0000-0002-9309-3407"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhong","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103032647"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.2033,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84755329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"16","issue":"2","first_page":"403","last_page":"403"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6749064326286316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6689436435699463},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6370625495910645},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5138719081878662},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5104328989982605},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.455133318901062},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3361024856567383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27686959505081177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1856236457824707},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11745333671569824}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6749064326286316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6689436435699463},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6370625495910645},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5138719081878662},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5104328989982605},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.455133318901062},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3361024856567383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27686959505081177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1856236457824707},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11745333671569824},{"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:10.3390/rs16020403","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020403","pdf_url":"https://www.mdpi.com/2072-4292/16/2/403/pdf?version=1705905713","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1849b80fb7d4495bb6a986e235c23222","is_oa":true,"landing_page_url":"https://doaj.org/article/1849b80fb7d4495bb6a986e235c23222","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 2, p 403 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16020403","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020403","pdf_url":"https://www.mdpi.com/2072-4292/16/2/403/pdf?version=1705905713","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G900708894","display_name":null,"funder_award_id":"61971043","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391103533.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W866015105","https://openalex.org/W1628235329","https://openalex.org/W2003440804","https://openalex.org/W2028823365","https://openalex.org/W2029563772","https://openalex.org/W2034805741","https://openalex.org/W2049633694","https://openalex.org/W2068020200","https://openalex.org/W2071284784","https://openalex.org/W2101730403","https://openalex.org/W2116611182","https://openalex.org/W2123457453","https://openalex.org/W2123771816","https://openalex.org/W2148154358","https://openalex.org/W2151697605","https://openalex.org/W2152279006","https://openalex.org/W2152294662","https://openalex.org/W2163144545","https://openalex.org/W2251976524","https://openalex.org/W2290170958","https://openalex.org/W2313957362","https://openalex.org/W2383438279","https://openalex.org/W2509275708","https://openalex.org/W2513373031","https://openalex.org/W2560387686","https://openalex.org/W2782086889","https://openalex.org/W2889180350","https://openalex.org/W2964871401","https://openalex.org/W2973700529","https://openalex.org/W3080688942","https://openalex.org/W3098352114","https://openalex.org/W3102166889","https://openalex.org/W3193636205","https://openalex.org/W4206616302","https://openalex.org/W4250955649","https://openalex.org/W4285304464","https://openalex.org/W4292363360","https://openalex.org/W4300610749","https://openalex.org/W4319586054","https://openalex.org/W6677411800","https://openalex.org/W6677815323","https://openalex.org/W6684379799"],"related_works":["https://openalex.org/W2986034714","https://openalex.org/W1500257147","https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W3049691116","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W3081214562"],"abstract_inverted_index":{"In":[0],"the":[1,21,25,78,100,112,120,125,128,133,145],"application":[2],"of":[3,27,80,105,127],"Compressive":[4],"Sensing":[5],"(CS)":[6],"theory":[7],"for":[8,60,161],"sidelobe":[9],"suppression":[10],"in":[11,31,94,158],"Random":[12],"Frequency":[13],"and":[14,48,72,123],"Pulse":[15],"Repetition":[16],"Interval":[17],"Agile":[18],"(RFPA)":[19],"radar,":[20],"off\u2212grid":[22,43,81],"issues":[23,82],"affect":[24],"performance":[26,152],"target":[28,84],"parameter":[29,85],"estimation":[30],"RFPA":[32,61,162],"radar.":[33,163],"Therefore,":[34],"to":[35],"address":[36],"this":[37,39],"issue,":[38],"paper":[40],"presents":[41],"an":[42],"CS":[44],"algorithm":[45,102,114,147],"named":[46],"Refinement":[47],"Generalized":[49],"Double":[50],"Pareto":[51],"(GDP)":[52],"distribution":[53],"based":[54],"on":[55,83],"Sparse":[56],"Bayesian":[57],"Learning":[58],"(RGDP\u2212SBL)":[59],"radar":[62],"that":[63,144],"utilizes":[64,116],"a":[65,89,106],"coarse\u2212to\u2212fine":[66],"grid":[67,129],"refinement":[68],"approach,":[69],"allowing":[70],"precise":[71],"cost\u2212effective":[73],"signal":[74,91,150],"recovery":[75,151],"while":[76,153],"mitigating":[77],"impact":[79],"estimation.":[86],"To":[87],"obtain":[88],"high-precision":[90],"recovery,":[92],"especially":[93],"scenarios":[95,160],"involving":[96],"closely":[97],"spaced":[98],"targets,":[99],"RGDP\u2212SBL":[101,113,146],"makes":[103],"use":[104],"three\u2212level":[107],"hierarchical":[108],"prior":[109],"model.":[110],"Furthermore,":[111],"efficiently":[115],"diagonal":[117],"elements":[118],"during":[119,132],"coarse":[121],"search":[122],"exploits":[124],"convexity":[126],"energy":[130],"curve":[131],"fine":[134],"search,":[135],"therefore":[136],"significantly":[137,148],"reducing":[138],"computational":[139,156],"complexity.":[140],"Simulation":[141],"results":[142],"demonstrate":[143],"improves":[149],"maintaining":[154],"low":[155],"complexity":[157],"multiple":[159]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
