{"id":"https://openalex.org/W4382203596","doi":"https://doi.org/10.1109/tvt.2023.3289817","title":"A Low-Complexity Noise Reduction Algorithm for Enhanced Target Detection in FMCW Radar","display_name":"A Low-Complexity Noise Reduction Algorithm for Enhanced Target Detection in FMCW Radar","publication_year":2023,"publication_date":"2023-06-27","ids":{"openalex":"https://openalex.org/W4382203596","doi":"https://doi.org/10.1109/tvt.2023.3289817"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2023.3289817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3289817","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5076644584","display_name":"Luoyan Zhu","orcid":"https://orcid.org/0000-0001-6325-1817"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luoyan Zhu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6325-1817","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027899296","display_name":"Yinsheng Liu","orcid":"https://orcid.org/0000-0003-3046-4888"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinsheng Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","Collaborative Innovation Center of Railway Traffic Safety, China","Frontiers Science Center for Smart High-speed Railway System, China"],"raw_orcid":"https://orcid.org/0000-0003-3046-4888","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Collaborative Innovation Center of Railway Traffic Safety, China","institution_ids":[]},{"raw_affiliation_string":"Frontiers Science Center for Smart High-speed Railway System, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012981301","display_name":"Danping He","orcid":"https://orcid.org/0000-0002-0917-5013"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danping He","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, China","Frontiers Science Center for Smart High-speed Railway System, China"],"raw_orcid":"https://orcid.org/0000-0002-0917-5013","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Frontiers Science Center for Smart High-speed Railway System, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047648973","display_name":"Ke Guan","orcid":"https://orcid.org/0000-0001-7229-7446"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Guan","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, China","Frontiers Science Center for Smart High-speed Railway System, China"],"raw_orcid":"https://orcid.org/0000-0001-7229-7446","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Frontiers Science Center for Smart High-speed Railway System, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008743173","display_name":"Jingjing Liao","orcid":"https://orcid.org/0009-0007-4684-7564"},"institutions":[{"id":"https://openalex.org/I4210155232","display_name":"Fiberhome Technology Group (China)","ror":"https://ror.org/04yv20134","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Liao","raw_affiliation_strings":["Wuhan Maritime Communication Research Institute, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Maritime Communication Research Institute, Wuhan, China","institution_ids":["https://openalex.org/I4210155232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350955","display_name":"Zhangdui Zhong","orcid":"https://orcid.org/0000-0001-8889-7374"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangdui Zhong","raw_affiliation_strings":["State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, China","Frontiers Science Center for Smart High-speed Railway System, China"],"raw_orcid":"https://orcid.org/0000-0001-8889-7374","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Frontiers Science Center for Smart High-speed Railway System, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5201,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95016034,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"72","issue":"12","first_page":"15227","last_page":"15236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9976000189781189,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9976000189781189,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9976000189781189,"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":0.9958000183105469,"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/computational-complexity-theory","display_name":"Computational complexity theory","score":0.655422568321228},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5952099561691284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5754868984222412},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5645903944969177},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.541990339756012},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5225341320037842},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5124545693397522},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4720799922943115},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4577857255935669},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44162479043006897},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.44144561886787415},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.42513132095336914},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2775181531906128},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21130266785621643},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.19351670145988464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17394769191741943},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17123857140541077},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09652799367904663}],"concepts":[{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.655422568321228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5952099561691284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5754868984222412},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5645903944969177},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.541990339756012},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5225341320037842},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5124545693397522},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4720799922943115},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4577857255935669},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44162479043006897},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.44144561886787415},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.42513132095336914},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2775181531906128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21130266785621643},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.19351670145988464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17394769191741943},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17123857140541077},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09652799367904663},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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":1,"locations":[{"id":"doi:10.1109/tvt.2023.3289817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3289817","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1507382696","display_name":null,"funder_award_id":"L221009","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G1601057736","display_name":null,"funder_award_id":"8091B032123","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G1833644328","display_name":null,"funder_award_id":"62271043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2081767737","display_name":null,"funder_award_id":"2022JBXT001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G594268167","display_name":null,"funder_award_id":"RCS2022ZT014","funder_id":"https://openalex.org/F4320323067","funder_display_name":"State Key Laboratory of Rail Traffic Control and Safety"},{"id":"https://openalex.org/G6890241315","display_name":null,"funder_award_id":"2020JBM085","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7052355602","display_name":null,"funder_award_id":"2022JBQY004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320323067","display_name":"State Key Laboratory of Rail Traffic Control and Safety","ror":"https://ror.org/01yj56c84"},{"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":23,"referenced_works":["https://openalex.org/W44472811","https://openalex.org/W151604921","https://openalex.org/W1506558619","https://openalex.org/W1578953027","https://openalex.org/W1728107461","https://openalex.org/W2011049521","https://openalex.org/W2077378990","https://openalex.org/W2099991189","https://openalex.org/W2102882097","https://openalex.org/W2157195543","https://openalex.org/W2582666574","https://openalex.org/W2785822801","https://openalex.org/W2989671097","https://openalex.org/W3034376968","https://openalex.org/W3040360205","https://openalex.org/W3088221515","https://openalex.org/W3161595308","https://openalex.org/W4213251304","https://openalex.org/W4214643798","https://openalex.org/W4229863987","https://openalex.org/W6643180207","https://openalex.org/W6755019189","https://openalex.org/W6770130728"],"related_works":["https://openalex.org/W4232638561","https://openalex.org/W3121932492","https://openalex.org/W1997544008","https://openalex.org/W3004137470","https://openalex.org/W1607100495","https://openalex.org/W131378092","https://openalex.org/W4221140916","https://openalex.org/W1598328844","https://openalex.org/W2181942109","https://openalex.org/W3010755803"],"abstract_inverted_index":{"This":[0],"article":[1,132],"deals":[2],"with":[3],"noise":[4,43,144],"reduction":[5,145],"in":[6,70,130,146],"frequency":[7],"modulated":[8],"continuous":[9],"wave":[10],"(FMCW)":[11],"radar.":[12],"Inspired":[13],"by":[14,22,28,54,83],"the":[15,18,23,29,42,46,55,62,74,77,92,109,136],"fact":[16],"that":[17,91,99,108,135],"signal":[19],"subspace":[20],"spanned":[21],"received":[24],"signals":[25],"is":[26,37,68,81,112],"dominated":[27],"target":[30],"echoes,":[31],"a":[32,49,65],"two-dimensional":[33],"(2D)":[34],"low-rank":[35,79,88],"filter":[36,80],"already":[38],"able":[39],"to":[40,133],"reduce":[41,61],"significantly,":[44],"at":[45],"cost":[47],"of":[48],"huge":[50],"computational":[51,63],"burden":[52],"caused":[53],"2D":[56,78],"eigen-value":[57],"decomposition":[58],"(EVD).":[59],"To":[60],"burden,":[64],"low-complexity":[66,75],"approach":[67,138],"proposed":[69,137],"this":[71,131],"article.":[72],"In":[73,119],"approach,":[76],"replaced":[82],"two":[84],"separated":[85],"one-dimensional":[86],"(1D)":[87],"filters":[89],"so":[90],"high-complexity":[93],"EVD":[94],"can":[95,116,139],"be":[96,117,140],"avoided.":[97],"Although":[98],"replacement":[100],"may":[101],"cause":[102],"performance":[103,110],"degradation,":[104],"theoretical":[105],"analysis":[106],"show":[107,134],"degradation":[111],"small":[113],"and":[114,124],"thus":[115],"ignored.":[118],"addition,":[120],"both":[121],"simulation":[122],"results":[123],"field":[125],"measurements":[126],"are":[127],"also":[128],"introduced":[129],"well":[141],"suited":[142],"for":[143],"practical":[147],"FMCW":[148],"radar":[149],"applications.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}
