{"id":"https://openalex.org/W4400484685","doi":"https://doi.org/10.3390/rs16142534","title":"An Efficient Sparse Recovery STAP Algorithm for Airborne Bistatic Radars Based on Atomic Selection under the Bayesian Framework","display_name":"An Efficient Sparse Recovery STAP Algorithm for Airborne Bistatic Radars Based on Atomic Selection under the Bayesian Framework","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4400484685","doi":"https://doi.org/10.3390/rs16142534"},"language":"en","primary_location":{"id":"doi:10.3390/rs16142534","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16142534","pdf_url":"https://www.mdpi.com/2072-4292/16/14/2534/pdf?version=1720613998","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/2072-4292/16/14/2534/pdf?version=1720613998","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100398793","display_name":"Kun Liu","orcid":"https://orcid.org/0000-0002-9960-4810"},"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":"Kun Liu","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042145015","display_name":"Tong Wang","orcid":"https://orcid.org/0000-0001-9849-7681"},"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":true,"raw_author_name":"Tong Wang","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100947251","display_name":"Weijun Huang","orcid":"https://orcid.org/0009-0003-6592-2663"},"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":"Weijun Huang","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5042145015"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.3292,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9075924,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"16","issue":"14","first_page":"2534","last_page":"2534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","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/T10891","display_name":"Radar Systems and Signal Processing","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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9987000226974487,"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":0.9986000061035156,"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/remote-sensing","display_name":"Remote sensing","score":0.6498702764511108},{"id":"https://openalex.org/keywords/bistatic-radar","display_name":"Bistatic radar","score":0.640022873878479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6076340675354004},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5560812950134277},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5382046699523926},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4788539409637451},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.47152623534202576},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.37632763385772705},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20839422941207886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18745160102844238},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1555803120136261},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.06396293640136719}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6498702764511108},{"id":"https://openalex.org/C100102862","wikidata":"https://www.wikidata.org/wiki/Q2625855","display_name":"Bistatic radar","level":4,"score":0.640022873878479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6076340675354004},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5560812950134277},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5382046699523926},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4788539409637451},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.47152623534202576},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.37632763385772705},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20839422941207886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18745160102844238},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1555803120136261},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.06396293640136719}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16142534","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16142534","pdf_url":"https://www.mdpi.com/2072-4292/16/14/2534/pdf?version=1720613998","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:ed56b8e9e52c48caa6a5a5363275742f","is_oa":true,"landing_page_url":"https://doaj.org/article/ed56b8e9e52c48caa6a5a5363275742f","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":"Remote Sensing, Vol 16, Iss 14, p 2534 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16142534","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16142534","pdf_url":"https://www.mdpi.com/2072-4292/16/14/2534/pdf?version=1720613998","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":[{"display_name":"Affordable and clean energy","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G655640906","display_name":null,"funder_award_id":"2021YFA1000400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400484685.pdf","grobid_xml":"https://content.openalex.org/works/W4400484685.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1480995398","https://openalex.org/W1515873845","https://openalex.org/W1851973413","https://openalex.org/W1988946738","https://openalex.org/W1991031161","https://openalex.org/W1992172678","https://openalex.org/W2013438974","https://openalex.org/W2021070329","https://openalex.org/W2071284784","https://openalex.org/W2091489596","https://openalex.org/W2104266187","https://openalex.org/W2106435850","https://openalex.org/W2106779652","https://openalex.org/W2112855412","https://openalex.org/W2118313329","https://openalex.org/W2122315118","https://openalex.org/W2127271355","https://openalex.org/W2132588596","https://openalex.org/W2141203897","https://openalex.org/W2142756041","https://openalex.org/W2144158572","https://openalex.org/W2145856765","https://openalex.org/W2148154358","https://openalex.org/W2149246019","https://openalex.org/W2151693816","https://openalex.org/W2152279006","https://openalex.org/W2159359905","https://openalex.org/W2162308501","https://openalex.org/W2163533144","https://openalex.org/W2165961723","https://openalex.org/W2170625670","https://openalex.org/W2327402290","https://openalex.org/W2460384451","https://openalex.org/W2580533102","https://openalex.org/W2765733762","https://openalex.org/W2792811410","https://openalex.org/W2806219860","https://openalex.org/W2969558369","https://openalex.org/W3036741456","https://openalex.org/W3126357218","https://openalex.org/W3164342917","https://openalex.org/W3209862160","https://openalex.org/W4206897147","https://openalex.org/W4226508191","https://openalex.org/W4280571332","https://openalex.org/W4286373503","https://openalex.org/W4292058999","https://openalex.org/W4292186850","https://openalex.org/W4312258136","https://openalex.org/W4324116477","https://openalex.org/W4362715002","https://openalex.org/W4382939069","https://openalex.org/W4386220305","https://openalex.org/W4390738880","https://openalex.org/W4394815491","https://openalex.org/W4396817510","https://openalex.org/W6675660381","https://openalex.org/W6677464803","https://openalex.org/W6684942582","https://openalex.org/W6807503794","https://openalex.org/W6810657067","https://openalex.org/W6838569267","https://openalex.org/W6840515588","https://openalex.org/W7037399250"],"related_works":["https://openalex.org/W2004765814","https://openalex.org/W2950419692","https://openalex.org/W1636544497","https://openalex.org/W2124163150","https://openalex.org/W2034611846","https://openalex.org/W2051186205","https://openalex.org/W2545704177","https://openalex.org/W2554356744","https://openalex.org/W2059918983","https://openalex.org/W2187902722"],"abstract_inverted_index":{"The":[0],"traditional":[1,208],"sparse":[2,94,110,161],"recovery":[3,95,111,162],"(SR)":[4],"space-time":[5,127],"adaptive":[6],"processing":[7],"(STAP)":[8],"algorithms":[9],"are":[10],"greatly":[11,130],"affected":[12],"by":[13,152,155,199],"grid":[14,141,153,157,171],"mismatch,":[15],"leading":[16],"to":[17,28,71,75,86,102,176],"poor":[18],"performance":[19,149,227,231],"in":[20,96,112,165,206],"airborne":[21,40,135],"bistatic":[22,41,136],"radar":[23,137],"clutter":[24,89,98,107,114,167,225],"suppression.":[25],"In":[26,134],"order":[27],"address":[29],"this":[30,32,144,181,233],"issue,":[31],"paper":[33],"proposes":[34],"an":[35,125],"SR":[36,209],"STAP":[37,210],"algorithm":[38],"for":[39,59],"radars":[42],"based":[43],"on":[44],"atomic":[45,57],"selection":[46,58],"under":[47,188],"the":[48,54,60,67,72,83,88,97,103,113,148,160,166,185,195,207,220],"Bayesian":[49,63,192],"framework.":[50],"This":[51],"method":[52,145,182],"adopts":[53],"idea":[55],"of":[56,62,69,106,122,232],"process":[61],"inference,":[64],"continuously":[65],"evaluating":[66],"contribution":[68],"atoms":[70,85,123],"likelihood":[73],"function":[74],"add":[76],"or":[77],"remove":[78],"atoms,":[79],"and":[80,92,223,228],"then":[81],"using":[82,118],"selected":[84],"estimate":[87],"support":[90,99,115,168],"subspace":[91,116],"perform":[93],"subspace.":[100],"Due":[101],"inherent":[104],"sparsity":[105],"signals,":[108],"performing":[109],"avoids":[117],"a":[119,189],"massive":[120],"number":[121],"from":[124],"overcomplete":[126],"dictionary,":[128],"thereby":[129],"improving":[131],"computational":[132,178],"efficiency.":[133],"scenarios":[138],"where":[139],"significant":[140],"mismatch":[142,154],"exists,":[143],"can":[146],"mitigate":[147],"degradation":[150],"caused":[151,198],"encrypting":[156,170],"points.":[158],"Since":[159],"is":[163],"performed":[164],"subspace,":[169],"points":[172],"does":[173],"not":[174],"lead":[175],"excessive":[177],"burden.":[179],"Additionally,":[180],"integrates":[183],"out":[184],"noise":[186,201],"term":[187],"new":[190],"hierarchical":[191],"model,":[193],"preventing":[194],"adverse":[196],"effects":[197],"inaccurate":[200],"power":[202],"estimation":[203],"during":[204],"iterations":[205],"algorithms,":[211],"further":[212],"enhancing":[213],"its":[214],"performance.":[215],"Our":[216],"simulation":[217],"results":[218],"demonstrate":[219],"high":[221],"efficiency":[222],"superior":[224],"suppression":[226],"target":[229],"detection":[230],"method.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}