{"id":"https://openalex.org/W2767030731","doi":"https://doi.org/10.1109/ncc.2017.8077060","title":"Approximations to detectors for Gaussian targets in compound Gaussian clutter using MIMO radar","display_name":"Approximations to detectors for Gaussian targets in compound Gaussian clutter using MIMO radar","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2767030731","doi":"https://doi.org/10.1109/ncc.2017.8077060","mag":"2767030731"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2017.8077060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2017.8077060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Twenty-third National Conference on Communications (NCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080866384","display_name":"Anish C. Turlapaty","orcid":"https://orcid.org/0000-0003-0078-3845"},"institutions":[{"id":"https://openalex.org/I116891498","display_name":"Siddhartha Medical College","ror":"https://ror.org/058pt1w78","country_code":"IN","type":"education","lineage":["https://openalex.org/I116891498"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anish Chand Turlapaty","raw_affiliation_strings":["Department of Electronics and Communication Engineering, VR Siddhartha Engineering College, Vijaywada, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, VR Siddhartha Engineering College, Vijaywada, India","institution_ids":["https://openalex.org/I116891498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080866384"],"corresponding_institution_ids":["https://openalex.org/I116891498"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"148","issue":null,"first_page":"148","last_page":"152"},"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":0.9911999702453613,"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":0.9794999957084656,"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":0.8763915300369263},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6841000318527222},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.627677321434021},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5839248299598694},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5381359457969666},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5344004034996033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5249005556106567},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.521480917930603},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.4726121723651886},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4250425398349762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.332658588886261},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18716692924499512},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18457770347595215}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8763915300369263},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6841000318527222},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.627677321434021},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5839248299598694},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5381359457969666},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5344004034996033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5249005556106567},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.521480917930603},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.4726121723651886},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4250425398349762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.332658588886261},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18716692924499512},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18457770347595215},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc.2017.8077060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2017.8077060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Twenty-third National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5199999809265137,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W213246498","https://openalex.org/W595851582","https://openalex.org/W1519399581","https://openalex.org/W1525535255","https://openalex.org/W1671221977","https://openalex.org/W1969534197","https://openalex.org/W1984677318","https://openalex.org/W1992025991","https://openalex.org/W2004681226","https://openalex.org/W2018304737","https://openalex.org/W2024588027","https://openalex.org/W2031374578","https://openalex.org/W2031532719","https://openalex.org/W2106124974","https://openalex.org/W2106199973","https://openalex.org/W2109018101","https://openalex.org/W2113444931","https://openalex.org/W2132617208","https://openalex.org/W2133479770","https://openalex.org/W2137632745","https://openalex.org/W2152516315","https://openalex.org/W2156576615","https://openalex.org/W2170366951","https://openalex.org/W2323539765","https://openalex.org/W2342859144","https://openalex.org/W2397350530","https://openalex.org/W2521409268","https://openalex.org/W2560593503"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W4320921117","https://openalex.org/W2351401443","https://openalex.org/W2115015615","https://openalex.org/W1968850503","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008","https://openalex.org/W4387803549"],"abstract_inverted_index":{"Computational":[0],"technology":[1],"advancements":[2],"have":[3],"enabled":[4],"the":[5,16,33,69,73,92,104],"radar":[6],"engineers":[7],"to":[8],"model":[9],"and":[10,95],"understand":[11],"extended":[12,21,40],"targets.":[13],"One":[14],"of":[15,20,35,37,63,82,91,103],"common":[17],"statistical":[18],"models":[19],"target":[22,41],"is":[23,66],"based":[24],"on":[25],"Gaussian":[26,71],"distribution.":[27],"In":[28],"this":[29,64],"paper,":[30],"we":[31],"address":[32],"problem":[34],"detection":[36],"such":[38],"an":[39,85],"that":[42,67],"has":[43],"a":[44,97],"non-Gaussian":[45],"clutter":[46],"plus":[47],"noise":[48],"background":[49],"using":[50],"MIMO":[51],"radar.":[52],"Specifically,":[53],"approximations":[54],"are":[55],"sought":[56],"for":[57,68,88,100],"theoretically":[58],"intractable":[59],"detectors.":[60],"Main":[61],"finding":[62],"study":[65],"compound":[70],"clutter,":[72],"test":[74],"statistic":[75],"can":[76],"be":[77],"replaced":[78],"with":[79,84],"no":[80],"loss":[81],"performance":[83],"asymptotic":[86],"approximator":[87,99],"large":[89],"values":[90,102],"shape":[93,105],"parameter":[94],"by":[96],"Laplace":[98],"small":[101],"parameter.":[106]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
