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

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.