{"id":"https://openalex.org/W4285114751","doi":"https://doi.org/10.1109/taes.2022.3187387","title":"Radar Target Classification Receiver Using Sparse Regression and Target Tailored Matched Filters","display_name":"Radar Target Classification Receiver Using Sparse Regression and Target Tailored Matched Filters","publication_year":2022,"publication_date":"2022-06-30","ids":{"openalex":"https://openalex.org/W4285114751","doi":"https://doi.org/10.1109/taes.2022.3187387"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2022.3187387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2022.3187387","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":["Pennsylvania State University, University Park, PA, USA","U.S. Naval Research Laboratory, Washington, DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"U.S. Naval Research Laboratory, Washington, DC, USA","institution_ids":["https://openalex.org/I1288214837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007158362","display_name":"Sastry Kompella","orcid":"https://orcid.org/0000-0001-7696-6213"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sastry Kompella","raw_affiliation_strings":["U.S. Naval Research Laboratory, Washington, DC, USA"],"raw_orcid":"https://orcid.org/0000-0001-7696-6213","affiliations":[{"raw_affiliation_string":"U.S. Naval Research Laboratory, Washington, DC, USA","institution_ids":["https://openalex.org/I1288214837"]}]},{"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":["Pennsylvania State University, University Park, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3568-2702","affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.226,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79822269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"59","issue":"1","first_page":"184","last_page":"195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9968000054359436,"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":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6738947629928589},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6538969874382019},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.5576999187469482},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.5096948146820068},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4772196412086487},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.47487872838974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4733550548553467},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.4611542224884033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43644002079963684},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3996695280075073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3549412488937378},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.25868043303489685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22580233216285706},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08269739151000977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6738947629928589},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6538969874382019},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.5576999187469482},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.5096948146820068},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4772196412086487},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.47487872838974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4733550548553467},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.4611542224884033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43644002079963684},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3996695280075073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3549412488937378},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25868043303489685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22580233216285706},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08269739151000977},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2022.3187387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2022.3187387","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G3911785704","display_name":null,"funder_award_id":"N00014-17-1-2386","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1571075643","https://openalex.org/W1986506190","https://openalex.org/W2045423428","https://openalex.org/W2099379700","https://openalex.org/W2134479433","https://openalex.org/W2135046866","https://openalex.org/W2137632745","https://openalex.org/W2143556900","https://openalex.org/W2158685194","https://openalex.org/W2475771804","https://openalex.org/W2587503573","https://openalex.org/W2810297542","https://openalex.org/W3044779877","https://openalex.org/W3154732924","https://openalex.org/W4205805299"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2129841057","https://openalex.org/W2176409448","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2163171661","https://openalex.org/W2079273826"],"abstract_inverted_index":{"Waveform":[0],"design":[1,164],"is":[2,32,49,108,132],"a":[3,36,56,73,120,133,148],"commonly":[4],"used":[5,146],"approach":[6,151],"to":[7,26,90,127,138,152],"enhance":[8],"target":[9,38,53,79,93,140],"classification":[10,107],"in":[11,99,147],"high":[12],"resolution":[13],"radar":[14,158],"systems.":[15],"In":[16,67],"the":[17,113,139],"monostatic":[18],"case":[19],"of":[20,28,35,92,105,122,135,166],"detecting":[21],"some":[22],"extended":[23],"target,":[24],"inherent":[25],"many":[27],"these":[29,97],"system":[30],"models":[31,165],"an":[33],"assumption":[34],"known":[37],"impulse":[39],"or":[40,64],"frequency":[41],"response.":[42],"A":[43],"practical":[44],"issue":[45],"with":[46],"this":[47,68],"method":[48,76],"that":[50],"for":[51,61,77,157],"nonsimple":[52],"cases,":[54],"such":[55],"response":[57,94],"can":[58,144],"change":[59],"drastically":[60],"varying":[62],"aspect":[63,82,100],"viewing":[65],"angles.":[66],"paper,":[69],"we":[70,85],"first":[71],"develop":[72],"sparse":[74],"regression":[75],"classifying":[78],"class":[80],"and":[81,116,124,143],"angle.":[83,101],"Next,":[84],"derive":[86],"matched":[87,137],"filters":[88,136],"tailored":[89],"dictionaries":[91],"profiles":[95],"representing":[96],"variations":[98],"The":[102,130],"desirable":[103],"goal":[104],"real-time":[106],"met":[109],"by":[110],"suitably":[111],"reducing":[112],"computational":[114],"cost":[115],"not":[117],"relying":[118],"on":[119],"series":[121,134],"measurement":[123],"adaption":[125],"cycles":[126],"achieve":[128],"classification.":[129,153],"result":[131],"dictionary":[141],"data":[142,160],"be":[145],"hypothesis":[149],"testing":[150],"Results":[154],"are":[155],"shown":[156],"cross-sectional":[159],"generated":[161],"from":[162],"computer-aided":[163],"different":[167],"targets.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}