{"id":"https://openalex.org/W7134823469","doi":"https://doi.org/10.1109/lsp.2026.3671702","title":"A Novel Drone RF Signal Enhancement Method Using Adaptive Phase-Compensated Wiener Filter for Improved Detection","display_name":"A Novel Drone RF Signal Enhancement Method Using Adaptive Phase-Compensated Wiener Filter for Improved Detection","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7134823469","doi":"https://doi.org/10.1109/lsp.2026.3671702"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2026.3671702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3671702","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5085042034","display_name":"Peizhou Liu","orcid":"https://orcid.org/0000-0001-8929-3409"},"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":"Peizhou Liu","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372032","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-4335-4680"},"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":"Hailiang Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128631244","display_name":"Zan Li","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":"Zan Li","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102135301","display_name":"Yu Ji","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":"Yu Ji","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045035144","display_name":"Ningxi Liu","orcid":"https://orcid.org/0000-0003-0578-0571"},"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":"Ningxi Liu","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101673509","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0002-2766-1533"},"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":"Bo Yang","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128645258","display_name":"Chao Wang","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":"Chao Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009796023","display_name":"Jiangbo Si","orcid":"https://orcid.org/0000-0002-7419-4042"},"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":"Jiangbo Si","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5085042034"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80495459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1200","last_page":"1204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.6168000102043152,"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":0.6168000102043152,"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/T11133","display_name":"UAV Applications and Optimization","score":0.2361000031232834,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.025499999523162842,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.6837000250816345},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.5260999798774719},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4113999903202057},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4068000018596649},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.40290001034736633},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.38830000162124634},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.3693000078201294},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.3603000044822693},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.3598000109195709}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001000046730042},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.6837000250816345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5461000204086304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5435000061988831},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.5260999798774719},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4113999903202057},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4068000018596649},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.40290001034736633},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3693000078201294},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.3603000044822693},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3598000109195709},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3490000069141388},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.30550000071525574},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.29249998927116394},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27239999175071716},{"id":"https://openalex.org/C100342000","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Active noise control","level":3,"score":0.27230000495910645},{"id":"https://openalex.org/C173028925","wikidata":"https://www.wikidata.org/wiki/Q7831461","display_name":"Track-before-detect","level":4,"score":0.27000001072883606},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.25940001010894775},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.25850000977516174},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.25270000100135803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2026.3671702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3671702","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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":30,"referenced_works":["https://openalex.org/W2041498927","https://openalex.org/W2095072097","https://openalex.org/W2146324387","https://openalex.org/W2153384885","https://openalex.org/W2904752064","https://openalex.org/W2921023894","https://openalex.org/W2946585848","https://openalex.org/W2963407762","https://openalex.org/W2976792973","https://openalex.org/W3008335638","https://openalex.org/W3113764772","https://openalex.org/W3114880790","https://openalex.org/W3130956448","https://openalex.org/W3136235398","https://openalex.org/W3147539069","https://openalex.org/W3191940264","https://openalex.org/W3194412331","https://openalex.org/W4210448425","https://openalex.org/W4210944412","https://openalex.org/W4285289939","https://openalex.org/W4367016589","https://openalex.org/W4385237401","https://openalex.org/W4391761552","https://openalex.org/W4399220169","https://openalex.org/W4400903674","https://openalex.org/W4402353248","https://openalex.org/W4404740728","https://openalex.org/W4413886804","https://openalex.org/W4415398771","https://openalex.org/W4417338482"],"related_works":[],"abstract_inverted_index":{"The":[0],"proliferation":[1],"of":[2],"unauthorized":[3],"Unmanned":[4],"Aerial":[5],"Vehicles":[6],"(UAVs)":[7],"poses":[8],"significant":[9],"security":[10],"risks,":[11],"necessitating":[12],"robust":[13],"detection":[14,36,105],"systems.":[15],"However,":[16],"in":[17,110],"practical":[18],"long-range":[19],"surveillance":[20],"scenarios,":[21],"UAV":[22],"signals":[23],"often":[24],"deteriorate":[25],"due":[26],"to":[27,117],"severe":[28],"attenuation":[29],"and":[30],"complex":[31],"environmental":[32],"interference,":[33],"rendering":[34],"traditional":[35],"methods":[37],"ineffective.":[38],"To":[39],"address":[40],"this,":[41],"this":[42],"letter":[43],"proposes":[44],"a":[45,58,66,90],"novel":[46],"signal":[47,101],"enhancement":[48],"framework":[49],"comprising":[50],"an":[51],"improved":[52],"adaptive":[53],"Wiener":[54],"filter.":[55],"We":[56],"introduce":[57],"dynamic":[59],"noise":[60,77],"spectrum":[61],"estimation":[62],"strategy":[63],"coupled":[64],"with":[65],"decision-directed":[67],"phase":[68,85],"compensation":[69],"mechanism.":[70],"This":[71],"approach":[72],"effectively":[73],"suppresses":[74],"non-stationary":[75],"background":[76],"while":[78],"reconstructing":[79],"high-fidelity":[80],"time-frequency":[81],"features":[82],"by":[83],"rectifying":[84],"distortions.":[86],"Experimental":[87],"results":[88],"on":[89],"proprietary":[91],"real-world":[92],"dataset":[93],"demonstrate":[94],"that":[95],"the":[96],"proposed":[97],"method":[98],"significantly":[99],"improves":[100],"quality,":[102],"enabling":[103],"high-accuracy":[104],"using":[106],"YOLO":[107],"models":[108],"even":[109],"ultra-low":[111],"Signal-to-Noise":[112],"Ratio":[113],"(SNR)":[114],"regimes":[115],"compared":[116],"raw":[118],"data-based":[119],"baselines.":[120]},"counts_by_year":[],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2026-03-11T00:00:00"}