{"id":"https://openalex.org/W2970616108","doi":"https://doi.org/10.1109/lsp.2019.2938089","title":"On the Product of Complex Gaussians With Applications to Radar","display_name":"On the Product of Complex Gaussians With Applications to Radar","publication_year":2019,"publication_date":"2019-08-28","ids":{"openalex":"https://openalex.org/W2970616108","doi":"https://doi.org/10.1109/lsp.2019.2938089","mag":"2970616108"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2019.2938089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2938089","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/A5028407315","display_name":"Sudarshan Guruacharya","orcid":"https://orcid.org/0000-0001-9833-6650"},"institutions":[{"id":"https://openalex.org/I4210104314","display_name":"New York Institute of Technology","ror":"https://ror.org/01bghzb51","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104314"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudarshan Guruacharya","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York Institute of Technology, Old Westbury, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-9833-6650","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York Institute of Technology, Old Westbury, NY, USA","institution_ids":["https://openalex.org/I4210104314"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013112758","display_name":"Batu K. Chalise","orcid":"https://orcid.org/0000-0001-7258-0567"},"institutions":[{"id":"https://openalex.org/I4210104314","display_name":"New York Institute of Technology","ror":"https://ror.org/01bghzb51","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104314"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Batu K. Chalise","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York Institute of Technology, Old Westbury, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York Institute of Technology, Old Westbury, NY, USA","institution_ids":["https://openalex.org/I4210104314"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012490058","display_name":"Braham Himed","orcid":"https://orcid.org/0000-0003-0053-6270"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Braham Himed","raw_affiliation_strings":["Sensors Directorate, Air Force Research Laboratory, AFRL/RYMD, Dayton, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sensors Directorate, Air Force Research Laboratory, AFRL/RYMD, Dayton, OH, USA","institution_ids":["https://openalex.org/I1280414376"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.4233,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.98773461,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"26","issue":"10","first_page":"1536","last_page":"1540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9991999864578247,"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":0.9991999864578247,"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/T10655","display_name":"GNSS positioning and interference","score":0.9934999942779541,"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/T13121","display_name":"Radio Wave Propagation Studies","score":0.9790999889373779,"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/gaussian","display_name":"Gaussian","score":0.6422696709632874},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.617260754108429},{"id":"https://openalex.org/keywords/generalized-inverse-gaussian-distribution","display_name":"Generalized inverse Gaussian distribution","score":0.5061253905296326},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4706265926361084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4654926061630249},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.46114426851272583},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4602054953575134},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.4590747058391571},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.450514018535614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30457204580307007},{"id":"https://openalex.org/keywords/gaussian-random-field","display_name":"Gaussian random field","score":0.22260308265686035},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21285420656204224},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1972494125366211},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09067878127098083},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.09032246470451355}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6422696709632874},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.617260754108429},{"id":"https://openalex.org/C18912344","wikidata":"https://www.wikidata.org/wiki/Q866810","display_name":"Generalized inverse Gaussian distribution","level":5,"score":0.5061253905296326},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4706265926361084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4654926061630249},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.46114426851272583},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4602054953575134},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.4590747058391571},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.450514018535614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30457204580307007},{"id":"https://openalex.org/C51267290","wikidata":"https://www.wikidata.org/wiki/Q5527848","display_name":"Gaussian random field","level":4,"score":0.22260308265686035},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21285420656204224},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1972494125366211},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09067878127098083},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.09032246470451355},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2019.2938089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2938089","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":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G317248000","display_name":null,"funder_award_id":"FA8650\u201014\u2010D\u20101722","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W604181985","https://openalex.org/W1578336695","https://openalex.org/W1978026911","https://openalex.org/W1983893987","https://openalex.org/W2014312666","https://openalex.org/W2036374007","https://openalex.org/W2073586616","https://openalex.org/W2091007469","https://openalex.org/W2102591969","https://openalex.org/W2475771804","https://openalex.org/W2525701550","https://openalex.org/W2963548618","https://openalex.org/W3008609509","https://openalex.org/W4233022137","https://openalex.org/W4246024215"],"related_works":["https://openalex.org/W1986899693","https://openalex.org/W2520922303","https://openalex.org/W1968259981","https://openalex.org/W2124816995","https://openalex.org/W2092366338","https://openalex.org/W2123188330","https://openalex.org/W4241043257","https://openalex.org/W2080761542","https://openalex.org/W2537346512","https://openalex.org/W2063306681"],"abstract_inverted_index":{"The":[0,32,54],"joint":[1],"probability":[2],"density":[3],"function":[4,41],"(pdf)":[5],"of":[6,14,42,48,64],"a":[7,15,20],"complex":[8,16,21,27],"vector,":[9,23,29],"which":[10],"is":[11,30,57],"the":[12,43,62],"product":[13],"Gaussian":[17,22,28],"scalar":[18],"and":[19,38,46],"added":[24],"to":[25,60],"another":[26],"derived.":[31,53],"pdf,":[33],"cumulative":[34],"distribution":[35],"function,":[36],"moments,":[37],"moment":[39],"generating":[40],"squared":[44],"norm":[45,47],"this":[49],"vector":[50],"are":[51],"then":[52,58],"derived":[55],"result":[56],"used":[59],"characterize":[61],"performance":[63],"energy":[65],"detector":[66],"(square":[67],"law":[68],"detector)":[69],"for":[70],"radar":[71],"system.":[72]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}