{"id":"https://openalex.org/W4366308395","doi":"https://doi.org/10.1049/icp.2023.1279","title":"Hyperparameters selection analysis of Bayesian deghosting algorithm for MSPSR systems","display_name":"Hyperparameters selection analysis of Bayesian deghosting algorithm for MSPSR systems","publication_year":2023,"publication_date":"2023-03-02","ids":{"openalex":"https://openalex.org/W4366308395","doi":"https://doi.org/10.1049/icp.2023.1279"},"language":"en","primary_location":{"id":"doi:10.1049/icp.2023.1279","doi":"https://doi.org/10.1049/icp.2023.1279","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1049/icp.2023.1279","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5018373392","display_name":"Pavel Kulmon","orcid":"https://orcid.org/0000-0003-3876-3460","observed_orcids":["https://orcid.org/0000-0003-3876-3460"]},"institutions":[{"id":"https://openalex.org/I4210087455","display_name":"ERA (Czechia)","ror":"https://ror.org/007s0q763","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210087455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"P. Kulmon","raw_affiliation_strings":["Department of Research and Analysis, ERA a.s., Pardubice, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Research and Analysis, ERA a.s., Pardubice, Czech Republic","institution_ids":["https://openalex.org/I4210087455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090979550","display_name":"Petr Luke\u0161","orcid":"https://orcid.org/0000-0002-9372-6868","observed_orcids":["https://orcid.org/0000-0002-9372-6868"]},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"P. Luke\u0161","raw_affiliation_strings":["Department of Air Transport, Czech Technical University in Prague, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Air Transport, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2022","issue":"17","first_page":"714","last_page":"718"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.6338000297546387,"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":0.6338000297546387,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.2451000064611435,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.023399999365210533,"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/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9100000262260437},{"id":"https://openalex.org/keywords/indian-buffet-process","display_name":"Indian Buffet Process","score":0.9869999885559082},{"id":"https://openalex.org/keywords/target-association","display_name":"target association","score":0.5149999856948853},{"id":"https://openalex.org/keywords/hyperparameter-sensitivity","display_name":"hyperparameter sensitivity","score":0.5690000057220459}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9458141326904297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323650121688843},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5464715361595154},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5331791043281555},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4677593410015106},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.46284765005111694},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45433905720710754},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4165099263191223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3955618739128113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39480555057525635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34616392850875854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3396124243736267},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/icp.2023.1279","doi":"https://doi.org/10.1049/icp.2023.1279","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1049/icp.2023.1279","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3095206042","https://openalex.org/W3180012214","https://openalex.org/W4392493546","https://openalex.org/W7201107690","https://openalex.org/W7148348947","https://openalex.org/W2559281503","https://openalex.org/W2023019663","https://openalex.org/W2580533102","https://openalex.org/W2029091779","https://openalex.org/W1513101117"],"abstract_inverted_index":{"In":[0,51],"this":[1,52],"paper,":[2,53],"a":[3,98,106],"recent":[4],"novel":[5],"Bayesian":[6],"deghosting":[7],"algorithm":[8,60],"for":[9,46,79],"the":[10,26,29,33,42,47,54,59,63,67,75,77,80,111,115],"Multi-Static":[11],"Primary":[12],"Surveillance":[13],"Radar":[14],"(MSPSR)":[15],"systems":[16],"is":[17,69,88],"analysed.":[18],"The":[19,102],"previous":[20],"research":[21],"was":[22],"primarily":[23],"concerned":[24],"with":[25,74],"verification":[27],"of":[28,56,58,66,82,110],"approach":[30],"based":[31],"on":[32,62],"Indian":[34],"Buffet":[35],"Process":[36],"(IBP)":[37],"and":[38,71],"its":[39],"usage":[40],"as":[41],"apriori":[43,86],"probability":[44],"distribution":[45],"bistatic-to-cartesian":[48],"association":[49,112],"matrix.":[50],"degree":[55],"dependence":[57],"performance":[61],"specific":[64],"choice":[65,81],"hyperparameters":[68,83,116],"explored":[70],"assessed.":[72],"Together":[73],"analysis,":[76],"methodology":[78],"without":[84],"any":[85],"knowledge":[87],"developed.":[89],"All":[90],"analyses":[91],"are":[92],"verified":[93],"using":[94],"simulations":[95],"derived":[96],"from":[97],"realistic":[99],"MSPSR":[100],"system.":[101],"results":[103,113],"obtained":[104],"suggest":[105],"rather":[107],"low":[108],"sensitivity":[109],"concerning":[114],"computation":[117],"method.":[118]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2023-04-20T00:00:00"}
