{"id":"https://openalex.org/W4396941372","doi":"https://doi.org/10.1109/taes.2024.3394456","title":"A Data-Driven Approach to Modeling Sea Clutter Stochastic Differential Equations","display_name":"A Data-Driven Approach to Modeling Sea Clutter Stochastic Differential Equations","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4396941372","doi":"https://doi.org/10.1109/taes.2024.3394456"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2024.3394456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3394456","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5022007776","display_name":"Caden J. Pici","orcid":null},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]},{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caden J. Pici","raw_affiliation_strings":["U.S. Naval Research Laboratory, Washington, DC, USA","The Pennsylvania State University, University Park, PA, USA"],"raw_orcid":"https://orcid.org/0009-0003-6769-9311","affiliations":[{"raw_affiliation_string":"U.S. Naval Research Laboratory, Washington, DC, USA","institution_ids":["https://openalex.org/I1288214837"]},{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003487011","display_name":"Asok Ray","orcid":"https://orcid.org/0000-0003-4124-0230"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Asok Ray","raw_affiliation_strings":["The Pennsylvania State University, University Park, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4124-0230","affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007158362","display_name":"Sastry Kompella","orcid":"https://orcid.org/0000-0001-7696-6213"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sastry Kompella","raw_affiliation_strings":["Nexcepta, Inc., Gaithersburg, MD, USA"],"raw_orcid":"https://orcid.org/0000-0001-7696-6213","affiliations":[{"raw_affiliation_string":"Nexcepta, Inc., Gaithersburg, MD, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070841724","display_name":"Ram M. Narayanan","orcid":"https://orcid.org/0000-0003-3568-2702"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ram M. Narayanan","raw_affiliation_strings":["The Pennsylvania State University, University Park, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3568-2702","affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2503,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49448164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"60","issue":"4","first_page":"5312","last_page":"5321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7912098169326782},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6582428812980652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.529453456401825},{"id":"https://openalex.org/keywords/stochastic-differential-equation","display_name":"Stochastic differential equation","score":0.5127016305923462},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4804377257823944},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4756039083003998},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.453643798828125},{"id":"https://openalex.org/keywords/sea-state","display_name":"Sea state","score":0.4441670775413513},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4269603490829468},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.42247021198272705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3702660799026489},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.32728689908981323},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2714323401451111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2663934528827667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2626451253890991},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17822840809822083},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11305946111679077}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7912098169326782},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6582428812980652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.529453456401825},{"id":"https://openalex.org/C51955184","wikidata":"https://www.wikidata.org/wiki/Q1545585","display_name":"Stochastic differential equation","level":2,"score":0.5127016305923462},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4804377257823944},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4756039083003998},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.453643798828125},{"id":"https://openalex.org/C2781147146","wikidata":"https://www.wikidata.org/wiki/Q1569795","display_name":"Sea state","level":2,"score":0.4441670775413513},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4269603490829468},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.42247021198272705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3702660799026489},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32728689908981323},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2714323401451111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2663934528827667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2626451253890991},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17822840809822083},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11305946111679077},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2024.3394456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3394456","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W351530235","https://openalex.org/W1530209873","https://openalex.org/W1990220120","https://openalex.org/W1991134151","https://openalex.org/W1997054581","https://openalex.org/W2000362365","https://openalex.org/W2011821925","https://openalex.org/W2014356541","https://openalex.org/W2018414925","https://openalex.org/W2023348117","https://openalex.org/W2024631881","https://openalex.org/W2067035505","https://openalex.org/W2078898317","https://openalex.org/W2094842984","https://openalex.org/W2115866402","https://openalex.org/W2165112444","https://openalex.org/W2315912408","https://openalex.org/W2482944896","https://openalex.org/W2551318894","https://openalex.org/W2566199617","https://openalex.org/W2782661794","https://openalex.org/W2796256386","https://openalex.org/W2805777666","https://openalex.org/W2810742935","https://openalex.org/W2898544194","https://openalex.org/W2899881905","https://openalex.org/W2972332645","https://openalex.org/W2991499860","https://openalex.org/W3019988632","https://openalex.org/W3045521046","https://openalex.org/W3052640349","https://openalex.org/W3099803807","https://openalex.org/W3129637124","https://openalex.org/W3142273203","https://openalex.org/W3155567600","https://openalex.org/W3180447660","https://openalex.org/W3194826546","https://openalex.org/W4206763478","https://openalex.org/W4210968171","https://openalex.org/W4238187298"],"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/W4285814392","https://openalex.org/W2119152306","https://openalex.org/W2378503578"],"abstract_inverted_index":{"The":[0],"development":[1,42],"of":[2,5,16,22,49,58,82,92,105,119],"a":[3,30,77,102,132],"family":[4],"data-driven":[6,74],"methods,":[7],"called":[8],"dynamic":[9,103],"mode":[10],"decomposition,":[11],"for":[12,43,89],"modeling":[13,39],"the":[14,20,23,34,38,47,59,86,90,110,114,138,148],"behavior":[15],"dynamical":[17],"systems":[18],"through":[19],"approximation":[21],"associated":[24],"Koopman":[25,139],"operator,":[26],"has":[27],"led":[28],"to":[29,116,144],"rapid":[31],"increase":[32],"in":[33,46,66,147],"related":[35],"research.":[36],"Separately,":[37],"and":[40],"algorithm":[41],"target":[44],"detection":[45,127],"presence":[48],"sea":[50,87,93,106,149],"clutter":[51,107],"often":[52],"involves":[53],"probability":[54],"density":[55],"function":[56],"descriptions":[57],"amplitude":[60],"process,":[61],"which":[62],"ignores":[63],"time":[64],"dependency":[65],"data.":[67],"In":[68],"this":[69,123],"paper,":[70],"we":[71],"combine":[72],"these":[73],"methods":[75],"with":[76],"stochastic":[78],"differential":[79],"equation":[80],"model":[81,104,140],"radar":[83,111],"scattering":[84],"from":[85,109,137],"surface":[88],"purpose":[91],"state":[94],"change":[95],"detection.":[96],"This":[97],"approach":[98,135],"relies":[99],"on":[100],"building":[101],"directly":[108],"measurements,":[112],"without":[113],"need":[115],"estimate":[117],"parameters":[118],"underlying":[120],"equations.":[121],"Using":[122],"model,":[124],"an":[125],"anomaly":[126],"scheme":[128],"is":[129,142],"demonstrated":[130],"using":[131],"Kalman":[133],"filtering":[134],"constructed":[136],"that":[141],"able":[143],"identify":[145],"changes":[146],"state.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
