{"id":"https://openalex.org/W3018194276","doi":"https://doi.org/10.1109/iccais46528.2019.9074701","title":"A Knowledge-Aided Wald Detector for Target Detection in Sea Clutter","display_name":"A Knowledge-Aided Wald Detector for Target Detection in Sea Clutter","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3018194276","doi":"https://doi.org/10.1109/iccais46528.2019.9074701","mag":"3018194276"},"language":"en","primary_location":{"id":"doi:10.1109/iccais46528.2019.9074701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais46528.2019.9074701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-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/A5089819588","display_name":"Yisong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisong Zhang","raw_affiliation_strings":["School of EIE, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EIE, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634524","display_name":"Wenguang Wang","orcid":"https://orcid.org/0000-0002-6012-7084"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenguang Wang","raw_affiliation_strings":["School of EIE, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EIE, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332708","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0001-6958-8904"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["School of EIE, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EIE, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016836426","display_name":"Jihuang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihuang Yang","raw_affiliation_strings":["School of EIE, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EIE, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6804,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95963483,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9889000058174133,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9678999781608582,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.9543272852897644},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.8392590284347534},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.7539458870887756},{"id":"https://openalex.org/keywords/wald-test","display_name":"Wald test","score":0.7239990830421448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5986431241035461},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.519351601600647},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4788382351398468},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4428880214691162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4343392252922058},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4168745279312134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4101906418800354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37772491574287415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2317723035812378},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2230852246284485},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.13703987002372742},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.09770902991294861},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09686189889907837}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.9543272852897644},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.8392590284347534},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7539458870887756},{"id":"https://openalex.org/C203274628","wikidata":"https://www.wikidata.org/wiki/Q748664","display_name":"Wald test","level":3,"score":0.7239990830421448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5986431241035461},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.519351601600647},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4788382351398468},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4428880214691162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4343392252922058},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4168745279312134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4101906418800354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37772491574287415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2317723035812378},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2230852246284485},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.13703987002372742},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.09770902991294861},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09686189889907837},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais46528.2019.9074701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais46528.2019.9074701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1965392255","https://openalex.org/W1966168643","https://openalex.org/W1986921156","https://openalex.org/W2114118063","https://openalex.org/W2126185325","https://openalex.org/W2127675963","https://openalex.org/W2130573040","https://openalex.org/W2141319003","https://openalex.org/W2155261119","https://openalex.org/W2157148515","https://openalex.org/W2159359905","https://openalex.org/W2808460382","https://openalex.org/W2889911215"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W2351401443","https://openalex.org/W2115015615","https://openalex.org/W4320921117","https://openalex.org/W1968850503","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008","https://openalex.org/W3018194276"],"abstract_inverted_index":{"A":[0],"new":[1],"knowledge-aided":[2,72],"Wald":[3,73],"detector":[4,31,74,82],"is":[5,57],"proposed":[6,30,71],"in":[7],"this":[8],"paper":[9],"to":[10,22,59],"deal":[11],"with":[12],"the":[13,17,23,29,33,42,47,51,54,61,70,84],"target":[14],"detection":[15,63,78],"under":[16,83],"inhomogeneous":[18,85],"sea":[19,27,86],"clutter.":[20,87],"Aim":[21],"scenario":[24],"of":[25,36,41],"dynamic":[26],"clutter,":[28],"updates":[32],"covariance":[34,48],"matrix":[35,45],"background":[37],"by":[38],"comprehensive":[39],"use":[40],"prior":[43],"information":[44],"and":[46],"matrix.":[49],"At":[50],"same":[52],"time,":[53],"morphological":[55],"processing":[56],"introduced":[58],"obtain":[60],"final":[62],"result.":[64],"The":[65],"experimental":[66],"results":[67],"show":[68],"that":[69],"can":[75],"achieve":[76],"better":[77],"performance":[79],"than":[80],"KA-Wald":[81]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}