{"id":"https://openalex.org/W2974369353","doi":"https://doi.org/10.1109/access.2019.2942168","title":"An Improved Radon-Fourier Transform Coherent Integration Method","display_name":"An Improved Radon-Fourier Transform Coherent Integration Method","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2974369353","doi":"https://doi.org/10.1109/access.2019.2942168","mag":"2974369353"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2942168","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2942168","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08843963.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08843963.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060903938","display_name":"Yongkun Song","orcid":"https://orcid.org/0000-0001-7592-2315"},"institutions":[{"id":"https://openalex.org/I4210140031","display_name":"Science and Technology on Surface Physics and Chemistry Laboratory","ror":"https://ror.org/0543q7s13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210140031"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongkun Song","raw_affiliation_strings":["Air Force Early Warning Academy, Wuhan, China","Science and Technology on Near-Surface Detection Laboratory, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0001-7592-2315","affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"Science and Technology on Near-Surface Detection Laboratory, Wuxi, China","institution_ids":["https://openalex.org/I4210140031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007286998","display_name":"Tian Jin","orcid":"https://orcid.org/0000-0002-0734-9833"},"institutions":[{"id":"https://openalex.org/I4210140031","display_name":"Science and Technology on Surface Physics and Chemistry Laboratory","ror":"https://ror.org/0543q7s13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210140031"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Jin","raw_affiliation_strings":["Science and Technology on Near-Surface Detection Laboratory, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Near-Surface Detection Laboratory, Wuxi, China","institution_ids":["https://openalex.org/I4210140031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102016894","display_name":"Yongping Song","orcid":"https://orcid.org/0000-0003-4191-0548"},"institutions":[{"id":"https://openalex.org/I4210140031","display_name":"Science and Technology on Surface Physics and Chemistry Laboratory","ror":"https://ror.org/0543q7s13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210140031"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongping Song","raw_affiliation_strings":["Air Force Early Warning Academy, Wuhan, China","Science and Technology on Near-Surface Detection Laboratory, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Early Warning Academy, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"Science and Technology on Near-Surface Detection Laboratory, Wuxi, China","institution_ids":["https://openalex.org/I4210140031"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082008492","display_name":"Yansong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansong Zhang","raw_affiliation_strings":["School of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":8.9942,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97473576,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"138593","last_page":"138602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","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/T11038","display_name":"Advanced SAR Imaging Techniques","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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998000264167786,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.6953978538513184},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5607516169548035},{"id":"https://openalex.org/keywords/pulse-repetition-frequency","display_name":"Pulse repetition frequency","score":0.5470467805862427},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5135093331336975},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4874408543109894},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.48337191343307495},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.47102126479148865},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4469909071922302},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.40189847350120544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3641217350959778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3210276961326599},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18378478288650513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15653479099273682},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13667204976081848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6953978538513184},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5607516169548035},{"id":"https://openalex.org/C182862853","wikidata":"https://www.wikidata.org/wiki/Q575887","display_name":"Pulse repetition frequency","level":3,"score":0.5470467805862427},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5135093331336975},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4874408543109894},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.48337191343307495},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.47102126479148865},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4469909071922302},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.40189847350120544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3641217350959778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3210276961326599},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18378478288650513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15653479099273682},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13667204976081848},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2942168","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2942168","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08843963.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:778972eb8cbb4aaaa50a8629fc3443da","is_oa":true,"landing_page_url":"https://doaj.org/article/778972eb8cbb4aaaa50a8629fc3443da","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":"IEEE Access, Vol 7, Pp 138593-138602 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2942168","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2942168","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08843963.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G927729992","display_name":"\u8d85\u5bbd\u5e26\u96f7\u8fbe\u6b65\u6001\u8bc6\u522b\u6280\u672f\u7814\u7a76","funder_award_id":"61971430","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2974369353.pdf","grobid_xml":"https://content.openalex.org/works/W2974369353.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1645770679","https://openalex.org/W1969459064","https://openalex.org/W1970660589","https://openalex.org/W1972706031","https://openalex.org/W2000802382","https://openalex.org/W2030250082","https://openalex.org/W2060550586","https://openalex.org/W2063688614","https://openalex.org/W2079122246","https://openalex.org/W2086436307","https://openalex.org/W2145035134","https://openalex.org/W2147016563","https://openalex.org/W2159440746","https://openalex.org/W2247773818","https://openalex.org/W2320799948","https://openalex.org/W2334724354","https://openalex.org/W2570215288","https://openalex.org/W2757771685","https://openalex.org/W2765182077","https://openalex.org/W2779001993","https://openalex.org/W2785850411","https://openalex.org/W2786897816","https://openalex.org/W2808382556"],"related_works":["https://openalex.org/W1533252844","https://openalex.org/W4243232219","https://openalex.org/W2124726941","https://openalex.org/W2761209721","https://openalex.org/W1485341600","https://openalex.org/W3194150349","https://openalex.org/W2384052998","https://openalex.org/W1182702830","https://openalex.org/W3116301466","https://openalex.org/W2000005233"],"abstract_inverted_index":{"Radar":[0],"plays":[1],"an":[2,68],"increasingly":[3],"important":[4],"role":[5],"in":[6,28,62,82,139],"target":[7,35,55,114],"detection":[8,13,166],"because":[9],"of":[10,53,108,133],"its":[11],"all-weather":[12],"capability.":[14],"Furthermore,":[15],"to":[16,32,49,111,152],"detect":[17],"weak":[18,54],"and":[19,59,116,131,146,164],"flexible":[20],"target,":[21],"effectively":[22],"coherent":[23,77],"integration":[24,78],"method":[25,79,86,135,157],"is":[26,46,80],"required":[27],"radar":[29],"signal":[30,36,93],"processing":[31],"enhance":[33,112],"the":[34,40,51,88,99,105,113,118,128,155],"intensity.":[37],"Based":[38],"on":[39],"Radon-Fourier":[41],"transform":[42],"(RFT)":[43],"algorithm,":[44],"which":[45],"widely":[47],"used":[48],"solve":[50],"problem":[52],"detection,":[56],"range":[57],"migration":[58],"Doppler":[60],"ambiguity":[61],"low":[63],"signal-to-noise":[64],"ratio":[65],"(SNR)":[66],"environment,":[67],"improved":[69],"multiple":[70],"pulse":[71],"repetition":[72],"intervals":[73],"(PRIs)":[74],"RFT":[75,106],"(MRFT)":[76],"presented":[81],"this":[83,134],"paper.":[84],"The":[85,141],"adopts":[87],"Linear":[89],"frequency":[90],"modulated":[91],"(LFM)":[92],"with":[94,104,143],"three":[95,109],"different":[96],"PRIs":[97],"as":[98],"transmitted":[100],"signal,":[101],"then":[102],"combines":[103],"outputs":[107],"RPIs":[110],"energy":[115],"suppress":[117],"blind":[119],"speed":[120],"side":[121],"lobe":[122],"(BSSL)":[123],"caused":[124],"by":[125],"RFT.":[126],"Meanwhile,":[127],"design":[129],"rules":[130],"constraints":[132],"are":[136,150],"also":[137],"discussed":[138],"detail.":[140],"experiments":[142],"simulation":[144],"data":[145,149],"real":[147],"measured":[148],"provided":[151],"demonstrate":[153],"that":[154],"designed":[156],"can":[158],"get":[159],"better":[160],"BSSL":[161],"suppression":[162],"capability":[163],"higher":[165],"rate":[167],"than":[168],"conventional":[169],"methods.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
