Situation Assessment Method Based on Bayesian Network and Its Application in Space Battlefield

The space situation awareness ability is the development of space resources, the protection of space assets and the control of space. It's the key to the implementation of space military action. Therefore, the satellite in the space military confrontation as the research object is discussed to solve the situation assessment problem of space battlefield. A method of situation assessment is proposed which based on Bayesian Network and its advantages to solve the imprecise knowledge representation problems and inference problems. Firstly, a Bayesian Network model for situation assessment is established based on expert experience knowledge. Then, the Bayesian inference algorithm is used to predict the spatial situation and achieve the situation assessment. Finally, the algorithm is validated and analyzed by using the BNT toolbox of MATLAB. Simulation results show that the method can adapt to the change of battlefield situation, and are more accurate and reliable for the prediction of situation. It has some important practical values in the future space battlefield