Algorithm for tracking functionally related coordinates and recognizing the state of the GVC-BRLS-Fighter Indicator system with a random jump-like structure with a Bayesian optimality criterion
    
    
  
  
  
      
      
      
        
Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika, no. 2 (2019), pp. 57-69
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			The relevance of the work is due to the fact that the lack of an optimal tracking algorithm for functionally related coordinates (FGC) and recognition of the group air target (MCC), which takes into account a priori information about their change, leads to an underestimation of the information capabilities of the fighter’s onboard radar station. To improve the characteristics of the radar to assess the air target situation in the article for the Bayes optimality criterion, a new algorithm is developed for tracking the FGC and recognizing the state of the GVC-BRLS-indicator-fighter system with a random jump-like structure. For this, expressions are found for a posteriori estimates of FGC and the state of the MCC based on the Bayes formula and the Markov property of the random processes.
			
            
            
            
          
        
      
                  
                    
                    
                    
                    
                    
                      
Keywords: 
clustered air target, identification method, random jump structure system.
                    
                  
                
                
                @article{VTPMK_2019_2_a3,
     author = {A. A. Skrynnikov and A. Yu. Fedotov and A. A. Lobanov and O. O. Tkacheva and Yu. M. Vikulova},
     title = {Algorithm for tracking functionally related coordinates and recognizing the state of the {GVC-BRLS-Fighter} {Indicator} system with a random jump-like structure with a {Bayesian} optimality criterion},
     journal = {Vestnik Tverskogo gosudarstvennogo universiteta. Seri\^a Prikladna\^a matematika},
     pages = {57--69},
     publisher = {mathdoc},
     number = {2},
     year = {2019},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VTPMK_2019_2_a3/}
}
                      
                      
                    TY - JOUR AU - A. A. Skrynnikov AU - A. Yu. Fedotov AU - A. A. Lobanov AU - O. O. Tkacheva AU - Yu. M. Vikulova TI - Algorithm for tracking functionally related coordinates and recognizing the state of the GVC-BRLS-Fighter Indicator system with a random jump-like structure with a Bayesian optimality criterion JO - Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika PY - 2019 SP - 57 EP - 69 IS - 2 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/VTPMK_2019_2_a3/ LA - ru ID - VTPMK_2019_2_a3 ER -
%0 Journal Article %A A. A. Skrynnikov %A A. Yu. Fedotov %A A. A. Lobanov %A O. O. Tkacheva %A Yu. M. Vikulova %T Algorithm for tracking functionally related coordinates and recognizing the state of the GVC-BRLS-Fighter Indicator system with a random jump-like structure with a Bayesian optimality criterion %J Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika %D 2019 %P 57-69 %N 2 %I mathdoc %U http://geodesic.mathdoc.fr/item/VTPMK_2019_2_a3/ %G ru %F VTPMK_2019_2_a3
A. A. Skrynnikov; A. Yu. Fedotov; A. A. Lobanov; O. O. Tkacheva; Yu. M. Vikulova. Algorithm for tracking functionally related coordinates and recognizing the state of the GVC-BRLS-Fighter Indicator system with a random jump-like structure with a Bayesian optimality criterion. Vestnik Tverskogo gosudarstvennogo universiteta. Seriâ Prikladnaâ matematika, no. 2 (2019), pp. 57-69. http://geodesic.mathdoc.fr/item/VTPMK_2019_2_a3/
