{"id":"https://openalex.org/W2037751135","doi":"https://doi.org/10.1109/tsp.2015.2421473","title":"Compressive Sensing of Stepped-Frequency Radar Based on Transfer Learning","display_name":"Compressive Sensing of Stepped-Frequency Radar Based on Transfer Learning","publication_year":2015,"publication_date":"2015-04-11","ids":{"openalex":"https://openalex.org/W2037751135","doi":"https://doi.org/10.1109/tsp.2015.2421473","mag":"2037751135"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2015.2421473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2421473","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","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/A5083319203","display_name":"Danlei Xu","orcid":null},"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":"Danlei Xu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716826","display_name":"Lan Du","orcid":"https://orcid.org/0000-0002-4503-0022"},"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":"Lan Du","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411968","display_name":"Hongwei Liu","orcid":"https://orcid.org/0000-0003-4046-163X"},"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":"Hongwei Liu","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626335","display_name":"Penghui Wang","orcid":"https://orcid.org/0000-0001-9659-5608"},"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":"Penghui Wang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078098754","display_name":"Junkun Yan","orcid":"https://orcid.org/0000-0002-3828-6812"},"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":"Junkun Yan","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622056","display_name":"Yulai Cong","orcid":"https://orcid.org/0000-0003-2413-1163"},"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":"Yulai Cong","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101175335","display_name":"Xun Han","orcid":null},"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":"Xun Han","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.5554,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92011642,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"63","issue":"12","first_page":"3076","last_page":"3087"},"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":0.9993000030517578,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6378548741340637},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5942978858947754},{"id":"https://openalex.org/keywords/chirp","display_name":"Chirp","score":0.5760725140571594},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5388391613960266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4929463863372803},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.48426172137260437},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4653651714324951},{"id":"https://openalex.org/keywords/frequency-band","display_name":"Frequency band","score":0.4454164505004883},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4408220946788788},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.43248888850212097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42698436975479126},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4120929539203644},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34924444556236267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26775452494621277},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15286237001419067},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14815980195999146},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1173563003540039},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.09811854362487793},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08789664506912231}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6378548741340637},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5942978858947754},{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.5760725140571594},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5388391613960266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4929463863372803},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.48426172137260437},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4653651714324951},{"id":"https://openalex.org/C2778116611","wikidata":"https://www.wikidata.org/wiki/Q25110567","display_name":"Frequency band","level":3,"score":0.4454164505004883},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4408220946788788},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.43248888850212097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42698436975479126},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4120929539203644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34924444556236267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26775452494621277},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15286237001419067},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14815980195999146},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1173563003540039},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09811854362487793},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08789664506912231},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2015.2421473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2421473","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1320533920","display_name":null,"funder_award_id":"61271024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G261697776","display_name":null,"funder_award_id":"61322103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3047687602","display_name":null,"funder_award_id":"61201296","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1488131479","https://openalex.org/W1527747735","https://openalex.org/W1648369087","https://openalex.org/W1648445109","https://openalex.org/W1972127950","https://openalex.org/W1973510848","https://openalex.org/W2005876975","https://openalex.org/W2057988448","https://openalex.org/W2071284784","https://openalex.org/W2086962710","https://openalex.org/W2093427575","https://openalex.org/W2098316308","https://openalex.org/W2108727084","https://openalex.org/W2115681244","https://openalex.org/W2115979064","https://openalex.org/W2117111086","https://openalex.org/W2117803041","https://openalex.org/W2118297240","https://openalex.org/W2126658427","https://openalex.org/W2129268038","https://openalex.org/W2129638195","https://openalex.org/W2129664358","https://openalex.org/W2130416410","https://openalex.org/W2133047848","https://openalex.org/W2141159272","https://openalex.org/W2145096794","https://openalex.org/W2145781390","https://openalex.org/W2147973859","https://openalex.org/W2152176246","https://openalex.org/W2160547390","https://openalex.org/W2160905702","https://openalex.org/W2161035945","https://openalex.org/W2165698076","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W4250955649","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2377235482","https://openalex.org/W2351454232","https://openalex.org/W2382227980","https://openalex.org/W3090614300","https://openalex.org/W2141591718","https://openalex.org/W3028490874","https://openalex.org/W2033082431","https://openalex.org/W1820289435","https://openalex.org/W2165168465","https://openalex.org/W2385606657"],"abstract_inverted_index":{"It":[0,92],"usually":[1],"suffers":[2],"from":[3,72,88,107,166],"long":[4],"observing":[5],"time":[6],"and":[7,102,153,177],"interference":[8],"sensitivity":[9],"when":[10],"a":[11,37,57,73],"radar":[12],"transmits":[13],"the":[14,26,32,48,54,98,108,118,124,128,135,148,158,162,167,171,178,185,202],"high-range-resolution":[15],"stepped-frequency":[16,27],"chirp":[17,28],"signal.":[18],"Motivated":[19],"by":[20],"this,":[21],"only":[22],"partial":[23],"pulses":[24],"of":[25,75,100,112,161,189],"are":[29,104],"utilized.":[30],"For":[31],"obtained":[33],"incomplete":[34,129,179,190],"frequency":[35,51,78,130,141,181,192],"data,":[36,79,182],"Bayesian":[38,120,154],"model":[39,64,69],"based":[40,156],"on":[41,157,201],"transfer":[42,159],"learning":[43],"is":[44,65,93,199],"proposed":[45,197],"to":[46,67,95,134,194],"reconstruct":[47],"corresponding":[49,139],"full-band":[50,77,140],"data.":[52,109,208],"In":[53,123],"training":[55,136,168,175],"phase,":[56],"complex":[58],"beta":[59],"process":[60],"factor":[61],"analysis":[62],"(CBPFA)":[63],"utilized":[66],"statistically":[68],"each":[70,174],"aspect-frame":[71],"set":[74],"given":[76],"whose":[80],"probability":[81],"density":[82],"function":[83],"(pdf)":[84],"can":[85,114,143],"be":[86,115,144],"learned":[87,106,165],"this":[89],"CBPFA":[90,113],"model.":[91],"important":[94],"note":[96],"that":[97,132],"numbers":[99],"factors":[101],"dictionaries":[103],"automatically":[105],"The":[110,196],"inference":[111],"performed":[116],"via":[117,147],"variational":[119],"(VB)":[121],"method.":[122],"reconstruction":[125],"phase":[126],"for":[127],"data":[131,142,193],"\u201crelated\u201d":[133],"samples,":[137],"its":[138],"analytically":[145],"reconstructed":[146],"compressive":[149],"sensing":[150],"(CS)":[151],"method":[152,198],"criterion":[155],"knowledge":[160],"previous":[163],"pdfs":[164],"phase.":[169],"About":[170],"\u201crelatedness\u201d":[172],"between":[173],"frame":[176,186],"test":[180,191],"we":[183],"utilize":[184],"condition":[187],"distribution":[188],"represent.":[195],"validated":[200],"measured":[203],"high":[204],"range":[205],"resolution":[206],"(HRR)":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
