{"id":"https://openalex.org/W4390841657","doi":"https://doi.org/10.1049/2024/5026821","title":"Deep Anomaly Detection with Attention (DADA): A Novel Approach for Identifying Multipath Interference in Radar Signals","display_name":"Deep Anomaly Detection with Attention (DADA): A Novel Approach for Identifying Multipath Interference in Radar Signals","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390841657","doi":"https://doi.org/10.1049/2024/5026821"},"language":"en","primary_location":{"id":"doi:10.1049/2024/5026821","is_oa":true,"landing_page_url":"https://doi.org/10.1049/2024/5026821","pdf_url":"https://downloads.hindawi.com/journals/ietsp/2024/5026821.pdf","source":{"id":"https://openalex.org/S30889260","display_name":"IET Signal Processing","issn_l":"1751-9675","issn":["1751-9675","1751-9683"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/ietsp/2024/5026821.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073352027","display_name":"Kang Yan","orcid":"https://orcid.org/0000-0002-0637-0390"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kang Yan","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu","School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0637-0390","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101522875","display_name":"Weidong Jin","orcid":"https://orcid.org/0000-0001-9177-1609"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Jin","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu","School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030793365","display_name":"Yingkun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112812","display_name":"National Supercomputing Center in Shenzhen","ror":"https://ror.org/02291hh73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112812"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingkun Huang","raw_affiliation_strings":["National Supercomputing Center in Shenzhen, Shenzhen","National Supercomputing Center in Shenzhen, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Supercomputing Center in Shenzhen, Shenzhen","institution_ids":["https://openalex.org/I4210112812"]},{"raw_affiliation_string":"National Supercomputing Center in Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I4210112812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083890904","display_name":"Zhenhua Li","orcid":"https://orcid.org/0000-0002-7772-482X"},"institutions":[{"id":"https://openalex.org/I79223203","display_name":"Guangdong Ocean University","ror":"https://ror.org/0462wa640","country_code":"CN","type":"education","lineage":["https://openalex.org/I79223203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Li","raw_affiliation_strings":["Department of Electronic Engineering, College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang","Department of Electronic Engineering, College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang, China"],"raw_orcid":"https://orcid.org/0000-0002-7772-482X","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang","institution_ids":["https://openalex.org/I79223203"]},{"raw_affiliation_string":"Department of Electronic Engineering, College of Electronic and Information Engineering, Guangdong Ocean University, Zhanjiang, China","institution_ids":["https://openalex.org/I79223203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023200656","display_name":"Pucha Song","orcid":"https://orcid.org/0000-0002-5301-1112"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pucha Song","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu","School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I4210125143"]},{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Chengdu University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023273454","display_name":"Ligang Huang","orcid":"https://orcid.org/0000-0003-4990-5073"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ligang Huang","raw_affiliation_strings":["Beijing Institute of Remote Sensing Equipment, Beijing","Beijing Institute of Remote Sensing Equipment, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4990-5073","affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing Equipment, Beijing","institution_ids":["https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Beijing Institute of Remote Sensing Equipment, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073352027"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.486,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68308692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"2024","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.7263185381889343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6930338740348816},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6405434012413025},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.5889768600463867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5846165418624878},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5551285743713379},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.541590690612793},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.494773805141449},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.49204060435295105},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.48181453347206116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34675127267837524},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3339655101299286},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.27759191393852234},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2015112340450287},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1682082712650299},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.12790673971176147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263185381889343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6930338740348816},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6405434012413025},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.5889768600463867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5846165418624878},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5551285743713379},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.541590690612793},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.494773805141449},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.49204060435295105},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.48181453347206116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34675127267837524},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3339655101299286},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27759191393852234},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2015112340450287},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1682082712650299},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.12790673971176147},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1049/2024/5026821","is_oa":true,"landing_page_url":"https://doi.org/10.1049/2024/5026821","pdf_url":"https://downloads.hindawi.com/journals/ietsp/2024/5026821.pdf","source":{"id":"https://openalex.org/S30889260","display_name":"IET Signal Processing","issn_l":"1751-9675","issn":["1751-9675","1751-9683"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ed077c9bb58d4393b2fd14d5bbc7ea10","is_oa":true,"landing_page_url":"https://doaj.org/article/ed077c9bb58d4393b2fd14d5bbc7ea10","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":"IET Signal Processing, Vol 2024 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1049/2024/5026821","is_oa":true,"landing_page_url":"https://doi.org/10.1049/2024/5026821","pdf_url":"https://downloads.hindawi.com/journals/ietsp/2024/5026821.pdf","source":{"id":"https://openalex.org/S30889260","display_name":"IET Signal Processing","issn_l":"1751-9675","issn":["1751-9675","1751-9683"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G5891493373","display_name":null,"funder_award_id":"62201097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G652600164","display_name":null,"funder_award_id":"6142105190312","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390841657.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2044567893","https://openalex.org/W2132870739","https://openalex.org/W2134490011","https://openalex.org/W2141128974","https://openalex.org/W2153816607","https://openalex.org/W2189579251","https://openalex.org/W2328139203","https://openalex.org/W2340896621","https://openalex.org/W2341088134","https://openalex.org/W2368301421","https://openalex.org/W2438512132","https://openalex.org/W2586095846","https://openalex.org/W2599354622","https://openalex.org/W2787947370","https://openalex.org/W2963045681","https://openalex.org/W2963061824","https://openalex.org/W2978971541","https://openalex.org/W3091905774","https://openalex.org/W4207032452","https://openalex.org/W4220983482","https://openalex.org/W4242978467","https://openalex.org/W4387017243","https://openalex.org/W7001209786"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W2918377632","https://openalex.org/W3202913553","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829"],"abstract_inverted_index":{"Multipath":[0],"interference":[1,50],"in":[2,45,127],"radar":[3,24,29,80,85,160],"signals":[4,86],"caused":[5],"by":[6],"sea,":[7],"ground,":[8],"and":[9,20,35,55,90,131],"other":[10],"environments":[11],"poses":[12],"significant":[13],"challenges":[14],"to":[15,107,116],"the":[16,39,122,149,164,167],"target":[17],"detection,":[18],"tracking,":[19],"classification":[21,40],"capabilities":[22],"of":[23,41,78,124,151,166],"systems.":[25],"Existing":[26],"methods":[27],"for":[28,75,154],"signal":[30,161],"identification":[31],"require":[32],"labeled":[33],"samples":[34,48,126,141,153],"focus":[36],"mainly":[37],"on":[38,94,159],"normal":[42,60,95,125,140,152],"signals.":[43,81],"However,":[44],"practice,":[46],"anomalous":[47],"(multipath":[49],"signals)":[51],"may":[52],"be":[53],"scarce":[54],"highly":[56],"imbalanced":[57],"(i.e.,":[58],"mostly":[59],"samples).":[61],"To":[62],"address":[63],"this":[64],"problem,":[65],"we":[66],"propose":[67],"a":[68,103,135],"deep":[69],"anomaly":[70,155],"detection":[71,77],"with":[72,102],"attention":[73,113],"(DADA)":[74],"semisupervised":[76],"multipath":[79],"The":[82,97],"method":[83],"transforms":[84],"into":[87],"time\u2013frequency":[88],"images":[89],"is":[91,100,114,142],"trained":[92],"exclusively":[93],"samples.":[96],"autoencoder":[98],"architecture":[99],"extended":[101],"feature":[104,118,133,137],"extractor":[105],"network":[106],"capture":[108],"latent":[109],"sample":[110],"features.":[111],"CBAM":[112],"introduced":[115],"improve":[117],"extraction.":[119],"By":[120],"learning":[121],"distribution":[123],"high\u2010dimensional":[128],"image":[129],"space":[130,138],"low\u2010dimensional":[132],"space,":[134],"two\u2010dimensional":[136],"representing":[139],"constructed.":[143],"A":[144],"one\u2010class":[145],"SVM":[146],"then":[147],"learns":[148],"boundary":[150],"detection.":[156],"Extensive":[157],"experiments":[158],"datasets":[162],"validate":[163],"effectiveness":[165],"proposed":[168],"approach.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}