Abstract
For solving the problem of the multi-targets threat from the air, this paper analyzes the threat degree of many kinds of different moving stages in naval gun system. The authors analyze the drawbacks of pre- vious methods and provide a new analytical model which is based on the theory of grey correlation and correla- tion coefficient. Using the new mathematical threat degree analysis model, the authors verify the new model by practical experiment and practical applications. In addition, this paper compares the merit and demerit of tradi- tional method and the new method of analytical model. It turned out that the new model is better than previous ones and it can be used effectively and easily, and its consumption of system recourse is in theoretical range.
Highlights
With the increasing speed of military development, the way of war in modern society has become more and more various
Enemies always use multi-headed missiles and multiple times of attack to destroy the targets. It has become an important factor for naval gun system analyzing and arranging the threat degree of air multi-targets [1] [2] [3]
Because of the multi-targets threat, the threat degree analysis has become the essential thing to overcome in modern society
Summary
With the increasing speed of military development, the way of war in modern society has become more and more various. Enemies always use multi-headed missiles and multiple times of attack to destroy the targets It has become an important factor for naval gun system analyzing and arranging the threat degree of air multi-targets [1] [2] [3]. The method based on time and space is combined with threat path, network and threat status to analyze the threat degree This method takes network and threat status into consideration, it only uses the threat path as the threat degree assessment of practical target. The new model which uses relative functions to quantify all the factors can influence the judgment of threat degree in naval gun defense system. Through a lot of practical experiments and applications the new method has proved that it can be used to analyze all the factors, which ensure its accuracy and efficiency
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