{"id":"https://openalex.org/W2546547440","doi":"https://doi.org/10.1109/igarss.2016.7729260","title":"Frequency hopping inverse synthetic aperture radar imaging simulation aided with real radar data","display_name":"Frequency hopping inverse synthetic aperture radar imaging simulation aided with real radar data","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2546547440","doi":"https://doi.org/10.1109/igarss.2016.7729260","mag":"2546547440"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Can-bin Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145825","display_name":"China Academy Of Machinery Science & Technology (China)","ror":"https://ror.org/04gpxrn68","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can-bin Yin","raw_affiliation_strings":["Equipment Academy, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Equipment Academy, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210145825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101510314","display_name":"Da Ran","orcid":"https://orcid.org/0000-0002-8266-4825"},"institutions":[{"id":"https://openalex.org/I4210145825","display_name":"China Academy Of Machinery Science & Technology (China)","ror":"https://ror.org/04gpxrn68","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Ran","raw_affiliation_strings":["Equipment Academy, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Equipment Academy, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210145825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210145825"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04965947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1026","last_page":"1029"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9979000091552734,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9959999918937683,"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/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.9603948593139648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7486079931259155},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7203304171562195},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.6218957304954529},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5524548292160034},{"id":"https://openalex.org/keywords/pulse-repetition-frequency","display_name":"Pulse repetition frequency","score":0.5093029737472534},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4504852294921875},{"id":"https://openalex.org/keywords/frequency-hopping-spread-spectrum","display_name":"Frequency-hopping spread spectrum","score":0.42586684226989746},{"id":"https://openalex.org/keywords/side-looking-airborne-radar","display_name":"Side looking airborne radar","score":0.410935640335083},{"id":"https://openalex.org/keywords/pulse-doppler-radar","display_name":"Pulse-Doppler radar","score":0.4075298309326172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36089128255844116},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19049420952796936}],"concepts":[{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.9603948593139648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7486079931259155},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7203304171562195},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.6218957304954529},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5524548292160034},{"id":"https://openalex.org/C182862853","wikidata":"https://www.wikidata.org/wiki/Q575887","display_name":"Pulse repetition frequency","level":3,"score":0.5093029737472534},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4504852294921875},{"id":"https://openalex.org/C122962297","wikidata":"https://www.wikidata.org/wiki/Q1136013","display_name":"Frequency-hopping spread spectrum","level":2,"score":0.42586684226989746},{"id":"https://openalex.org/C62282787","wikidata":"https://www.wikidata.org/wiki/Q831483","display_name":"Side looking airborne radar","level":5,"score":0.410935640335083},{"id":"https://openalex.org/C139931591","wikidata":"https://www.wikidata.org/wiki/Q1029151","display_name":"Pulse-Doppler radar","level":4,"score":0.4075298309326172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36089128255844116},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19049420952796936}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2018185640","https://openalex.org/W2028878677","https://openalex.org/W2030286252","https://openalex.org/W2103001330"],"related_works":["https://openalex.org/W2124726941","https://openalex.org/W3013965187","https://openalex.org/W4388207922","https://openalex.org/W1994788526","https://openalex.org/W2112228652","https://openalex.org/W2108352898","https://openalex.org/W2370933287","https://openalex.org/W2112684063","https://openalex.org/W1566448364","https://openalex.org/W2349478320"],"abstract_inverted_index":{"Innovative":[0],"frequency":[1,77,80],"hopping":[2,78,81],"inverse":[3,20],"synthetic":[4,21],"aperture":[5,22],"radar":[6,23],"(FH-ISAR)":[7],"imaging":[8,90],"simulator":[9,85],"was":[10,38,58],"presented":[11],"in":[12],"this":[13],"paper":[14],"aided":[15],"with":[16,26],"the":[17,41,46,64,71,89,102],"real":[18,32,66,107],"collected":[19],"(ISAR)":[24],"data":[25,33],"conventional":[27,36],"constant":[28],"carrier":[29],"frequency.":[30],"These":[31],"obtained":[34,69],"by":[35],"ISAR":[37],"used":[39],"as":[40,74],"input":[42,65],"dataset":[43],"to":[44],"start":[45],"FH-ISAR":[47,55,122],"Imaging":[48],"simulation,":[49],"and":[50,92,118],"a":[51,116],"series":[52,93],"of":[53,94,97,106],"virtual":[54],"dataset,":[56,67],"which":[57,100],"simulated,":[59],"or":[60],"reproduced":[61],"based":[62],"on":[63],"were":[68],"given":[70],"parameters":[72],"such":[73],"pulse":[75],"numbers,":[76],"bandwidth,":[79],"code,":[82],"etc.":[83],"This":[84],"can":[86,111],"also":[87],"complete":[88],"processing":[91],"clear":[95],"images":[96],"non-cooperative":[98],"targets":[99],"has":[101],"inherent":[103],"precise":[104],"complexities":[105],"maneuvering":[108],"target's":[109],"movement,":[110],"be":[112],"obtained.":[113],"It":[114],"provides":[115],"necessary":[117],"cool":[119],"toolkit":[120],"for":[121],"investigations.":[123]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}