{"id":"https://openalex.org/W2114000985","doi":"https://doi.org/10.1109/jstars.2015.2431916","title":"Research on Methods for Narrow-Band Interference Suppression in Synthetic Aperture Radar Data","display_name":"Research on Methods for Narrow-Band Interference Suppression in Synthetic Aperture Radar Data","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2114000985","doi":"https://doi.org/10.1109/jstars.2015.2431916","mag":"2114000985"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2015.2431916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2431916","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5080509511","display_name":"Feng Zhou","orcid":"https://orcid.org/0000-0002-1514-7393"},"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":"Feng Zhou","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, 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/A5074283278","display_name":"Mingliang Tao","orcid":"https://orcid.org/0000-0002-0329-7124"},"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":"Mingliang Tao","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an China#TAB#"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an, 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":2,"corresponding_author_ids":["https://openalex.org/A5080509511"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":107.4842,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.99819249,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"8","issue":"7","first_page":"3476","last_page":"3485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.8116451501846313},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6866686344146729},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6480551362037659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6358049511909485},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.5749483704566956},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4885788857936859},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.459748774766922},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.45971205830574036},{"id":"https://openalex.org/keywords/side-looking-airborne-radar","display_name":"Side looking airborne radar","score":0.4548552334308624},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.4300763010978699},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4143039882183075},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4115639328956604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36993861198425293},{"id":"https://openalex.org/keywords/pulse-doppler-radar","display_name":"Pulse-Doppler radar","score":0.3426896929740906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19937452673912048},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18759223818778992}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.8116451501846313},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6866686344146729},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6480551362037659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6358049511909485},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.5749483704566956},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4885788857936859},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.459748774766922},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.45971205830574036},{"id":"https://openalex.org/C62282787","wikidata":"https://www.wikidata.org/wiki/Q831483","display_name":"Side looking airborne radar","level":5,"score":0.4548552334308624},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.4300763010978699},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4143039882183075},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4115639328956604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36993861198425293},{"id":"https://openalex.org/C139931591","wikidata":"https://www.wikidata.org/wiki/Q1029151","display_name":"Pulse-Doppler radar","level":4,"score":0.3426896929740906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19937452673912048},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18759223818778992},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2015.2431916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2431916","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1325491171","display_name":null,"funder_award_id":"61471284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4216105799","display_name":null,"funder_award_id":"7214534206","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4297380774","display_name":null,"funder_award_id":"K5051202001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4356134872","display_name":null,"funder_award_id":"NCET-12-0916","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G4532155329","display_name":null,"funder_award_id":"U1430123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5654711164","display_name":null,"funder_award_id":"201448","funder_id":"https://openalex.org/F4320321769","funder_display_name":"Foundation for the Author of National Excellent Doctoral Dissertation of the People's Republic of China"},{"id":"https://openalex.org/G628287619","display_name":null,"funder_award_id":"61201283","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G64781735","display_name":null,"funder_award_id":"61172137","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"},{"id":"https://openalex.org/F4320321769","display_name":"Foundation for the Author of National Excellent Doctoral Dissertation of the People's Republic of China","ror":null},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W271314235","https://openalex.org/W595851582","https://openalex.org/W1421632428","https://openalex.org/W1514159701","https://openalex.org/W1548802052","https://openalex.org/W1563283406","https://openalex.org/W1966899112","https://openalex.org/W1974388905","https://openalex.org/W1988896360","https://openalex.org/W2008229822","https://openalex.org/W2020512774","https://openalex.org/W2021026488","https://openalex.org/W2025943163","https://openalex.org/W2046082494","https://openalex.org/W2049530934","https://openalex.org/W2072623250","https://openalex.org/W2074769152","https://openalex.org/W2100205787","https://openalex.org/W2108591274","https://openalex.org/W2117803041","https://openalex.org/W2120429662","https://openalex.org/W2122388060","https://openalex.org/W2132996847","https://openalex.org/W2158766004","https://openalex.org/W2165845758","https://openalex.org/W2286797545","https://openalex.org/W3157306318","https://openalex.org/W4205778870","https://openalex.org/W4237764598","https://openalex.org/W4242259102","https://openalex.org/W4251668111","https://openalex.org/W6662188851","https://openalex.org/W6696024505"],"related_works":["https://openalex.org/W2540450177","https://openalex.org/W2112228652","https://openalex.org/W1994788526","https://openalex.org/W2108352898","https://openalex.org/W2108697546","https://openalex.org/W2383271330","https://openalex.org/W1915418828","https://openalex.org/W2547107543","https://openalex.org/W2758958237","https://openalex.org/W1997912967"],"abstract_inverted_index":{"Narrow-band":[0],"interference":[1,98],"(NBI)":[2],"poses":[3],"a":[4,71],"hindrance":[5],"to":[6,81],"high-quality":[7],"imaging":[8],"for":[9],"synthetic":[10],"aperture":[11],"radar":[12,61],"(SAR).":[13],"It":[14],"is":[15,68,91],"an":[16],"under-determined":[17],"single-channel":[18],"separation":[19],"problem.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"addressed":[25],"the":[26,38,44,55,59,78,87,96,109,121,124],"NBI":[27,82,90],"suppression":[28],"problem":[29],"by":[30,93],"introducing":[31],"two":[32,52],"advanced":[33,104],"data-driven":[34],"nonparametric":[35],"techniques:":[36],"1)":[37],"eigen":[39],"subspace":[40],"filtering":[41,94,112],"and":[42,63],"2)":[43],"independent":[45],"component":[46],"analysis":[47],"(ICA).":[48],"Both":[49],"of":[50,73,89,102,123],"these":[51,103],"methods":[53,105],"utilize":[54],"statistical":[56],"difference":[57],"between":[58],"useful":[60],"echoes":[62],"NBI.":[64],"The":[65,100,114],"interference-contaminated":[66],"pulse":[67],"decomposed":[69],"into":[70],"set":[72],"basis":[74],"signals,":[75],"from":[76],"which":[77],"bases":[79],"corresponding":[80,97],"are":[83,106],"selected":[84],"out.":[85],"Then,":[86],"contribution":[88],"excised":[92],"out":[95],"components.":[99],"performances":[101],"compared":[107],"with":[108],"conventional":[110],"notch":[111],"method.":[113],"experimental":[115],"results":[116],"on":[117],"real":[118],"datasets":[119],"show":[120],"effectiveness":[122],"proposed":[125],"methods.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}