{"id":2830,"date":"2024-02-12T12:08:42","date_gmt":"2024-02-12T09:08:42","guid":{"rendered":"https:\/\/nor-ijournal.com\/?p=2830"},"modified":"2024-02-15T19:18:40","modified_gmt":"2024-02-15T16:18:40","slug":"126-8","status":"publish","type":"post","link":"https:\/\/nor-ijournal.com\/ru\/2024\/02\/12\/126-8\/","title":{"rendered":"Voronov Ye., Repkin A., Kuslya A., Sychov S. &#8211; COMPLEX ALGORITHM FOR DETECTING, IDENTIFYING AND TARGETING A GROUP OF CONTROLLED OBJECTS"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"2830\" class=\"elementor elementor-2830\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\">\n\t\t\t\t<div class=\"has_eae_slider elementor-element elementor-element-174423c e-flex e-con-boxed jltma-glass-effect-no wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-parent\" data-eae-slider=\"77441\" data-id=\"174423c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"has_eae_slider elementor-element elementor-element-e289846 e-con-full e-flex jltma-glass-effect-no wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no e-con e-child\" data-eae-slider=\"17344\" data-id=\"e289846\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b5a0a35 jltma-glass-effect-no exad-sticky-section-no exad-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"b5a0a35\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">COMPLEX ALGORITHM FOR DETECTING, IDENTIFYING AND TARGETING A GROUP OF CONTROLLED OBJECTS<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-863f119 jltma-glass-effect-no exad-sticky-section-no exad-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"863f119\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: right;\"><strong>Voronov<\/strong> <strong>Ye.<br \/><\/strong><em>Doctor of Technical Sciences, professor of \u00abInformatics and Control Systems\u00bb department, Bauman Moscow State Technical University, Moscow, Russia<br \/><\/em><strong>Repkin<\/strong> <strong>A.<br \/><\/strong><em>Candidate of Technical Sciences, senior researcher of Scientific Educational Complex \u00abInformatics and Control Systems\u00bb, Bauman Moscow State Technical University, Moscow, Russia<br \/><\/em><strong>Kuslya A.<br \/><\/strong><em>Head of design-theoretical department of JSC \u00abTactical Missies Corporation\u00bb, Korolyov, Moscow Oblast, Russia<br \/><\/em><strong>Sychov<\/strong> <strong>S.<br \/><\/strong><em>D<\/em><em>eputy general designer for innovative development of JSC \u00abTactical Missies Corporation\u00bb, Korolyov, Moscow Oblast, Russia<\/em><\/p><p><strong>Abstract<br \/><\/strong>The task of detection and identification of group of target dynamic objects (GTDO) objects by coordinates and type of objects for group of controlled objects (GCO) as part of the network-centric group of GWO has been considered and solved, with determination of a main object of GDTO based on parameters of detection frequency of GTDO objects for GCO and reliability of identification of GTDO objects, with formation and analysis of the detection matrix of GTDO objects from the GCO. Based on statistical modeling of the configuration of systems and the corresponding probabilities of detection and identification, the effectiveness of the developed algorithm is shown, and a multifactor analysis of the efficiency of the algorithm on various configurations of GCO and GTDO systems is carried out.<\/p><p><strong>Keywords:<\/strong> group of controlled objects, group of target dynamic objects, network-centric control, detecting, identifying, target assignment, multifactor analysis of effectiveness.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-206ce67 jltma-glass-effect-no exad-sticky-section-no exad-glass-effect-no elementor-widget elementor-widget-pdfjs_viewer\" data-id=\"206ce67\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"pdfjs_viewer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<iframe 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xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" viewbox=\"-.3 0 32 32\" version=\"1.1\" width=\"100%\" height=\"100%\" style=\"display:block;border-radius:999px;\" xml:space=\"preserve\"><g><path fill=\"#fff\" d=\"M18 14V8h-4v6H8v4h6v6h4v-6h6v-4h-6z\" fill-rule=\"evenodd\"><\/path><\/g><\/svg><\/span><\/a><\/div><div class=\"heateorSssClear\"><\/div><\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>COMPLEX ALGORITHM FOR DETECTING, IDENTIFYING AND TARGETING A GROUP OF CONTROLLED OBJECTS Voronov Ye.Doctor of Technical Sciences, professor of \u00abInformatics and Control Systems\u00bb department, Bauman Moscow State Technical University, Moscow, RussiaRepkin A.Candidate of Technical Sciences, senior researcher of Scientific Educational Complex \u00abInformatics and Control Systems\u00bb, Bauman Moscow State Technical University, Moscow, RussiaKuslya A.Head of design-theoretical department of JSC \u00abTactical Missies Corporation\u00bb, Korolyov, Moscow Oblast, RussiaSychov S.Deputy general designer for innovative development of JSC \u00abTactical Missies Corporation\u00bb, Korolyov, Moscow Oblast, Russia AbstractThe task of detection and identification of group of target dynamic objects (GTDO) objects by coordinates and type of objects for group of controlled objects (GCO) as part of the network-centric group of GWO has been considered and solved, with determination of a main object of GDTO based on parameters of detection frequency of GTDO objects for GCO and reliability of identification of GTDO objects, with formation and analysis of the detection matrix of GTDO objects from the GCO. Based on statistical modeling of the configuration of systems and the corresponding probabilities of detection and identification, the effectiveness of the developed algorithm is shown, and a multifactor analysis of the efficiency of the algorithm on various configurations of GCO and GTDO systems is carried out. Keywords: group of controlled objects, group of target dynamic objects, network-centric control, detecting, identifying, target assignment, multifactor analysis of effectiveness. 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