{"id":"https://openalex.org/W2976126829","doi":"https://doi.org/10.3233/jifs-179393","title":"A circular convolution based on compressed sensing imaging algorithm for FMCW CSAR","display_name":"A circular convolution based on compressed sensing imaging algorithm for FMCW CSAR","publication_year":2019,"publication_date":"2019-09-21","ids":{"openalex":"https://openalex.org/W2976126829","doi":"https://doi.org/10.3233/jifs-179393","mag":"2976126829"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179393","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179393","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5014958986","display_name":"Depeng Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Depeng Song","raw_affiliation_strings":["College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China","College of Information Engineering, Engineering University of PAP xi'an shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China","institution_ids":[]},{"raw_affiliation_string":"College of Information Engineering, Engineering University of PAP xi'an shanxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089791981","display_name":"Binbing Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Binbing Li","raw_affiliation_strings":["College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China","College of Information Engineering, Engineering University of PAP xi'an shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China","institution_ids":[]},{"raw_affiliation_string":"College of Information Engineering, Engineering University of PAP xi'an shanxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102012012","display_name":"Yi Qu","orcid":"https://orcid.org/0000-0001-6994-1843"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Qu","raw_affiliation_strings":["College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China","College of Information Engineering, Engineering University of PAP xi'an shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China","institution_ids":[]},{"raw_affiliation_string":"College of Information Engineering, Engineering University of PAP xi'an shanxi, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413914","display_name":"Yijun Chen","orcid":"https://orcid.org/0000-0001-9264-7490"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yijun Chen","raw_affiliation_strings":["College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China","College of Information Engineering, Engineering University of PAP xi'an shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Engineering University of PAP xi\u2019an shanxi, China","institution_ids":[]},{"raw_affiliation_string":"College of Information Engineering, Engineering University of PAP xi'an shanxi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5014958986"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7988,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.93256637,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"38","issue":"1","first_page":"187","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"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":0.9983000159263611,"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":0.661368191242218},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.620094895362854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5941810607910156},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5795344710350037},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5781441926956177},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5268099308013916},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5017654895782471},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.49709776043891907},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4599636197090149},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.45126014947891235},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.446592777967453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4378901720046997},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4201009273529053},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3516862988471985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20237696170806885},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17258504033088684},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07454106211662292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661368191242218},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.620094895362854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5941810607910156},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5795344710350037},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5781441926956177},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5268099308013916},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5017654895782471},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.49709776043891907},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4599636197090149},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.45126014947891235},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.446592777967453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4378901720046997},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4201009273529053},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3516862988471985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20237696170806885},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17258504033088684},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07454106211662292},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179393","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179393","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W599284720","https://openalex.org/W1603032031","https://openalex.org/W1805834485","https://openalex.org/W1964393039","https://openalex.org/W1973153865","https://openalex.org/W1973233493","https://openalex.org/W2007584381","https://openalex.org/W2010122118","https://openalex.org/W2014280980","https://openalex.org/W2049472408","https://openalex.org/W2056743638","https://openalex.org/W2099944953","https://openalex.org/W2107164950","https://openalex.org/W2154219232","https://openalex.org/W2170367517","https://openalex.org/W2329342261","https://openalex.org/W2342788783","https://openalex.org/W2544206878","https://openalex.org/W2569925808","https://openalex.org/W2742058710","https://openalex.org/W2746531978","https://openalex.org/W2751270711"],"related_works":["https://openalex.org/W2545123933","https://openalex.org/W2585813813","https://openalex.org/W3110962985","https://openalex.org/W2042726296","https://openalex.org/W2081203575","https://openalex.org/W3016428515","https://openalex.org/W2096748030","https://openalex.org/W2160730947","https://openalex.org/W2747205507","https://openalex.org/W2887270943"],"abstract_inverted_index":{"The":[0],"frequency":[1],"modulated":[2],"continuous":[3],"wave":[4,28,128],"circular":[5,64,81],"synthetic":[6],"aperture":[7],"radar":[8],"(FMCW":[9],"CSAR)":[10],"is":[11,71,87,98],"a":[12,34,63],"high":[13],"resolution":[14,36,104],"imaging":[15,31,103],"radar,":[16],"which":[17,45,113],"plays":[18],"an":[19],"important":[20],"role":[21],"in":[22,50,125],"target":[23,39,107],"recognition.":[24],"However,":[25],"the":[26,38,42,57,75,78,80,84,95,102,106,110,117,121,126,136,139],"traditional":[27,127],"number":[29,129],"domain":[30,130],"algorithm":[32,66],"has":[33],"low":[35],"for":[37,105],"far":[40,108],"from":[41,109],"scene":[43,111],"center,":[44,112],"limits":[46],"its":[47],"wide":[48],"applications":[49],"CSAR":[51],"imaging.":[52],"In":[53,77],"this":[54],"paper,":[55],"when":[56],"targets":[58],"are":[59],"sparse":[60],"or":[61],"compressible,":[62],"convolution":[65,82],"based":[67],"on":[68],"compressed":[69,96],"sensing":[70,97],"proposed":[72,140],"to":[73,89,100],"improve":[74,101],"resolution.":[76],"algorithm,":[79],"and":[83],"Fourier":[85],"transform":[86],"used":[88],"reduce":[90],"computation":[91],"cost.":[92],"What\u2019s":[93],"more,":[94],"applied":[99],"can":[114],"effectively":[115],"avoid":[116],"complex":[118],"calculation":[119],"of":[120,138],"system":[122],"kernel":[123],"function":[124],"algorithm.":[131],"Some":[132],"simulation":[133],"results":[134],"illustrate":[135],"effectiveness":[137],"method.":[141]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
