{"id":"https://openalex.org/W2462840709","doi":"https://doi.org/10.1109/lsp.2016.2582898","title":"Optimal Rayleigh Approximation of the K-Distribution via the Kullback\u2013Leibler Divergence","display_name":"Optimal Rayleigh Approximation of the K-Distribution via the Kullback\u2013Leibler Divergence","publication_year":2016,"publication_date":"2016-06-22","ids":{"openalex":"https://openalex.org/W2462840709","doi":"https://doi.org/10.1109/lsp.2016.2582898","mag":"2462840709"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2016.2582898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2582898","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5056296840","display_name":"Graham V. Weinberg","orcid":"https://orcid.org/0000-0001-7951-9849"},"institutions":[{"id":"https://openalex.org/I1303474014","display_name":"Defence Science and Technology Group","ror":"https://ror.org/05ddrvt52","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1303474014","https://openalex.org/I2801453606","https://openalex.org/I3139952251"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"G. V. Weinberg","raw_affiliation_strings":["National Security and Intelligence, Surveillance and Reconnaissance Division, Defence Science and Technology Group Edinburgh, SA, Australia"],"affiliations":[{"raw_affiliation_string":"National Security and Intelligence, Surveillance and Reconnaissance Division, Defence Science and Technology Group Edinburgh, SA, Australia","institution_ids":["https://openalex.org/I1303474014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073327912","display_name":"V. G. Glenny","orcid":null},"institutions":[{"id":"https://openalex.org/I1303474014","display_name":"Defence Science and Technology Group","ror":"https://ror.org/05ddrvt52","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1303474014","https://openalex.org/I2801453606","https://openalex.org/I3139952251"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"V. G. Glenny","raw_affiliation_strings":["National Security and Intelligence, Surveillance and Reconnaissance Division, Defence Science and Technology Group Edinburgh, SA, Australia"],"affiliations":[{"raw_affiliation_string":"National Security and Intelligence, Surveillance and Reconnaissance Division, Defence Science and Technology Group Edinburgh, SA, Australia","institution_ids":["https://openalex.org/I1303474014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056296840"],"corresponding_institution_ids":["https://openalex.org/I1303474014"],"apc_list":null,"apc_paid":null,"fwci":3.8156,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92860936,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"23","issue":"8","first_page":"1067","last_page":"1070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9987999796867371,"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":0.9987999796867371,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9894999861717224,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9825000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6503796577453613},{"id":"https://openalex.org/keywords/rayleigh-scattering","display_name":"Rayleigh scattering","score":0.6383010745048523},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6086483597755432},{"id":"https://openalex.org/keywords/rayleigh-distribution","display_name":"Rayleigh distribution","score":0.5979878306388855},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.5953962802886963},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5588619709014893},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.53071129322052},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.48483169078826904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43262794613838196},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40001213550567627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39379817247390747},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3863624930381775},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36391639709472656},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.338118314743042},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24668079614639282},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20827233791351318},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11877390742301941},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09756988286972046}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6503796577453613},{"id":"https://openalex.org/C46244369","wikidata":"https://www.wikidata.org/wiki/Q193709","display_name":"Rayleigh scattering","level":2,"score":0.6383010745048523},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6086483597755432},{"id":"https://openalex.org/C40940223","wikidata":"https://www.wikidata.org/wiki/Q637150","display_name":"Rayleigh distribution","level":3,"score":0.5979878306388855},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.5953962802886963},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5588619709014893},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.53071129322052},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.48483169078826904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43262794613838196},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40001213550567627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39379817247390747},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3863624930381775},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36391639709472656},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.338118314743042},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24668079614639282},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20827233791351318},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11877390742301941},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09756988286972046},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2016.2582898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2582898","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.800000011920929,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1494163099","https://openalex.org/W1529709906","https://openalex.org/W1644259710","https://openalex.org/W1965555277","https://openalex.org/W1968558669","https://openalex.org/W1981863980","https://openalex.org/W2023348117","https://openalex.org/W2031532719","https://openalex.org/W2045541070","https://openalex.org/W2084988574","https://openalex.org/W2087198915","https://openalex.org/W2088503609","https://openalex.org/W2094842984","https://openalex.org/W2101368513","https://openalex.org/W2107600021","https://openalex.org/W2112122263","https://openalex.org/W2144175433","https://openalex.org/W2156019871","https://openalex.org/W2165161896","https://openalex.org/W2172144714","https://openalex.org/W2297472553","https://openalex.org/W2300020177","https://openalex.org/W2337509605","https://openalex.org/W2470848904","https://openalex.org/W4236469434"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W3011102797","https://openalex.org/W2351401443","https://openalex.org/W4320921117","https://openalex.org/W1968850503","https://openalex.org/W2431104759","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W2115015615","https://openalex.org/W2386847279"],"abstract_inverted_index":{"Understanding":[0],"the":[1,17,31,35,57,70,74,77,99,107,130,150],"validity":[2],"of":[3,19,53,73,91,149],"distributional":[4],"approximations":[5],"is":[6,13,28,49,79,103],"important":[7],"in":[8,16,83,97],"radar":[9],"signal":[10],"processing.":[11],"This":[12,27,67],"certainly":[14],"exemplified":[15],"context":[18],"target":[20],"detection":[21,54],"with":[22,56],"X-band":[23,84],"maritime":[24,85],"surveillance":[25,86],"radar.":[26,87],"due":[29],"to":[30,43,105,119,133,144],"fact":[32],"that":[33,63],"if":[34],"underlying":[36],"clutter":[37],"amplitude":[38],"model":[39,82],"can":[40,64],"be":[41,44,65],"assumed":[42],"Rayleigh":[45,71,109,137],"distributed,":[46],"then":[47],"there":[48],"a":[50,80,126,135,146],"large":[51],"class":[52],"processes":[55],"constant":[58],"false":[59],"alarm":[60],"rate":[61],"property":[62],"applied.":[66],"paper":[68],"examines":[69],"approximation":[72,110],"K-distribution,":[75],"since":[76],"latter":[78],"popular":[81],"With":[88],"an":[89],"application":[90],"ideas":[92],"from":[93],"information":[94],"theory,":[95],"and":[96],"particular":[98],"Kullback-Leibler":[100],"divergence,":[101],"it":[102],"possible":[104],"derive":[106],"optimal":[108],"for":[111],"any":[112],"given":[113],"K-distribution.":[114],"Consequently":[115],"bounds":[116,124],"are":[117,142],"derived":[118],"measure":[120],"this":[121],"approximation.":[122,138,151],"These":[123],"reveal":[125],"necessary":[127],"interaction":[128],"between":[129],"K-distribution":[131],"parameters":[132],"achieve":[134],"good":[136],"Some":[139],"numerical":[140],"results":[141],"included":[143],"provide":[145],"practical":[147],"assessment":[148]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}