{"id":"https://openalex.org/W4401647279","doi":"https://doi.org/10.3390/s24165298","title":"Motion Clutter Suppression for Non-Cooperative Target Identification Based on Frequency Correlation Dual-SVD Reconstruction","display_name":"Motion Clutter Suppression for Non-Cooperative Target Identification Based on Frequency Correlation Dual-SVD Reconstruction","publication_year":2024,"publication_date":"2024-08-15","ids":{"openalex":"https://openalex.org/W4401647279","doi":"https://doi.org/10.3390/s24165298","pmid":"https://pubmed.ncbi.nlm.nih.gov/39204991"},"language":"en","primary_location":{"id":"doi:10.3390/s24165298","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165298","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5298/pdf?version=1723729329","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/16/5298/pdf?version=1723729329","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103231288","display_name":"Weikun He","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weikun He","raw_affiliation_strings":["Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001982207","display_name":"Yichuan Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichuan Luo","raw_affiliation_strings":["Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109597163","display_name":"Xiaoxiao Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Shang","raw_affiliation_strings":["Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China","institution_ids":["https://openalex.org/I28813325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103231288"],"corresponding_institution_ids":["https://openalex.org/I28813325"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.9272,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92238717,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"24","issue":"16","first_page":"5298","last_page":"5298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9977999925613403,"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":0.9977999925613403,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9954000115394592,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9904999732971191,"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/clutter","display_name":"Clutter","score":0.7938642501831055},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6428472995758057},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5865353345870972},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5007410049438477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4985690116882324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4544069170951843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39677804708480835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2504380941390991},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.23814958333969116},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1271524429321289},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08169415593147278}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7938642501831055},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6428472995758057},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5865353345870972},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5007410049438477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4985690116882324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4544069170951843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39677804708480835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2504380941390991},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.23814958333969116},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1271524429321289},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08169415593147278},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24165298","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165298","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5298/pdf?version=1723729329","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39204991","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39204991","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11360356","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11360356","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11360356/pdf/sensors-24-05298.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:82e63d7ede3a4609b08619ceb24ba8a1","is_oa":true,"landing_page_url":"https://doaj.org/article/82e63d7ede3a4609b08619ceb24ba8a1","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":"Sensors, Vol 24, Iss 16, p 5298 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24165298","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165298","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5298/pdf?version=1723729329","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"},{"score":0.44999998807907104,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326709","display_name":"Tianjin Municipal Education Commission","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401647279.pdf","grobid_xml":"https://content.openalex.org/works/W4401647279.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1837647555","https://openalex.org/W2014534232","https://openalex.org/W2042025164","https://openalex.org/W2056463960","https://openalex.org/W2550347528","https://openalex.org/W2744043876","https://openalex.org/W2765834644","https://openalex.org/W2777456526","https://openalex.org/W2809862903","https://openalex.org/W2937932150","https://openalex.org/W2944628748","https://openalex.org/W2966465505","https://openalex.org/W2980918953","https://openalex.org/W3008386680","https://openalex.org/W3014119441","https://openalex.org/W3092003914","https://openalex.org/W3134169640","https://openalex.org/W3153626497","https://openalex.org/W4316466950","https://openalex.org/W4361222565","https://openalex.org/W4387805467","https://openalex.org/W4399602365","https://openalex.org/W6903476869"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W4394861761","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W1925461966","https://openalex.org/W3036468168"],"abstract_inverted_index":{"Non-cooperative":[0],"targets,":[1,111],"such":[2,24],"as":[3],"birds":[4,43,147],"and":[5,14,38,44,59,75,94,109,148,166,189,205],"unmanned":[6],"aerial":[7],"vehicles":[8],"(UAVs),":[9],"are":[10,26],"typical":[11],"low-altitude,":[12],"slow,":[13],"small":[15],"(LSS)":[16],"targets":[17],"with":[18,48,102],"low":[19],"observability.":[20],"Radar":[21],"observations":[22],"in":[23,46],"scenarios":[25],"often":[27],"complicated":[28],"by":[29],"strong":[30,49,68,92],"motion":[31,50,69,99],"clutter":[32,51,70,118,128],"originating":[33],"from":[34],"sources":[35],"like":[36],"airplanes":[37],"cars.":[39],"Hence,":[40],"distinguishing":[41],"between":[42,73],"UAVs":[45,74],"environments":[47],"is":[52,184,198],"crucial":[53],"for":[54],"improving":[55],"target":[56,130],"monitoring":[57],"performance":[58],"ensuring":[60],"flight":[61],"safety.":[62],"To":[63],"address":[64],"the":[65,91,103,134,138,142,155,162,167,171,175,179],"impact":[66],"of":[67,98,107,137,146,157,161,170,174,194],"on":[71,122,141],"discriminating":[72],"birds,":[76],"we":[77,150],"propose":[78],"a":[79],"frequency":[80],"correlation":[81,96],"dual-SVD":[82],"(singular":[83],"value":[84],"decomposition)":[85],"reconstruction":[86],"method.":[87],"This":[88],"method":[89,125,197],"exploits":[90],"power":[93],"spectral":[95],"characteristics":[97,106,136,145],"clutter,":[100],"contrasted":[101],"weak":[104],"scattering":[105],"bird":[108,188],"UAV":[110,190],"to":[112,186],"effectively":[113],"suppress":[114],"clutter.":[115],"Unlike":[116],"traditional":[117],"suppression":[119],"methods":[120],"based":[121],"SVD,":[123],"our":[124,195],"avoids":[126],"residual":[127],"or":[129],"loss":[131],"while":[132],"preserving":[133],"micro-motion":[135,144,164],"targets.":[139,191],"Based":[140],"distinct":[143],"UAVs,":[149],"extract":[151],"two":[152],"key":[153],"features:":[154],"sum":[156],"normalized":[158],"large":[159],"eigenvalues":[160],"target's":[163],"component":[165],"energy":[168],"entropy":[169],"time-frequency":[172],"spectrum":[173],"radar":[176],"echoes.":[177],"Subsequently,":[178],"kernel":[180],"fuzzy":[181],"c-means":[182],"algorithm":[183],"applied":[185],"classify":[187],"The":[192],"effectiveness":[193],"proposed":[196],"validated":[199],"through":[200],"results":[201],"using":[202],"both":[203],"simulation":[204],"experimental":[206],"data.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}