Airborne Sensor Resource Management in Air Battles based on Fuzzy Bayesian Networks
نویسندگان
چکیده
A method for air combat sensor resource management based on fuzzy Bayesian networks (FBN) is presented. Using the fuzzy value of target information gain, target threat level and pilot command, probabilistic reasoning among the networks is carried out. Simulation results indicate that FBN method performances better in the allocation of sensor resource compared to information gain (IG) method. Streszczenie. W artykule przedstawiono zastosowanie sieci Bayes’a (ang. FBN) w zarządzaniu zasobem czujników w czasie walki powietrznej. Wykorzystując wartość rozmytą informacji o celu, poziom możliwego zagrożenia oraz komendy pilota, zbudowano sieć argumentowania probabilistycznego. Wyniki symulacyjne wykazują, że metoda FBN wykazuje lepsze właściwości alokacji zasobów niż metoda dywergencji Kullbacka-Leiblera (DKL, IG). (Zarządzanie zasobem czujników w walce powietrznej z wykorzystaniem sieci Bayes’a FBN).
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تاریخ انتشار 2012